Career with us
Role & Responsibilities
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Develop company A/B testing framework and test model quality.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyzemodel performance and data accuracy.
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
Candidate profile
- 7+ years in the Industry with experience in building Machine learning solutions from scratch
- Master’s degree in one of Data Science, Computer Science, Information Technology, Economics, Information Systems, Statistics, Applied Math
- Knowledge of SQL and Python; familiarity with Scala, Java or Spark
- Proven experience building and leading quantitative analyses as well experience building AI/ML solutions for a business
- Exposure to Data and Analytics in Fintech/ Banking and Financial services vertical with good understanding of Banking products especially Credit cards, Payments, Insurance and Securities
- Possesses solid understanding of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources
- Deeply understands statistical techniques and analytical concepts including hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing important recommendations for business units.
- Successfully demonstrated experience in the execution of data analytics initiatives including productization, leading to the development of useful insights and the improvement of a business’s performance and driving top-line growth
- Possess excellent articulation and cross functional skills.
- Experience working with cross geographies and across cultures
Location
- Bangalore (India)
Role & Responsibilities
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Develop company A/B testing framework and test model quality.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyzemodel performance and data accuracy.
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
Candidate profile
- 7+ years in the Industry with experience in building Machine learning solutions from scratch
- Master’s degree in one of Data Science, Computer Science, Information Technology, Economics, Information Systems, Statistics, Applied Math
- Knowledge of SQL and Python; familiarity with Scala, Java or Spark
- Proven experience building and leading quantitative analyses as well experience building AI/ML solutions for a business
- Exposure to Data and Analytics in Fintech/ Banking and Financial services vertical with good understanding of Banking products especially Credit cards, Payments, Insurance and Securities
- Possesses solid understanding of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources
- Deeply understands statistical techniques and analytical concepts including hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing important recommendations for business units.
- Successfully demonstrated experience in the execution of data analytics initiatives including productization, leading to the development of useful insights and the improvement of a business’s performance and driving top-line growth
- Possess excellent articulation and cross functional skills.
- Experience working with cross geographies and across cultures
Location
- Bangalore (India)
Role & Responsibilities
- Consult to understand business needs and translate those into technical outcomes relating to effective data solutions. Identify, interpret, and communicate meaningful insights, conclusions, and report to clients
- Work with the team to produce end-to-end data analytics and BI solutions, including MIS, predictive models, experimentation frameworks and deep analysis
- Play an integral role in data preparation and data wrangling for exploratory data analysis and building AI solutions. Gather, engineer, and prepare data for stakeholders to enable smarter decision making. Use a broad set of data curation and analytical tools and techniques to enable development of quantitative and qualitative business insights.
- Identify problems and analyze the development of KPIs. Deep dive and extract, organize, analyze, and visualize data using Power BI
Support management with important strategic analysis and recommendations
Work Experience:
- Applied Analytics and/or research experience in disruptive and new technologies
- Predictive models and clustering (segmentation), as well as NLP, with expertise in one or more frameworks/libraries such as: SAS, Python, R etc.
- Experience in translating non-trivial business requirements into data science solution, developing and deploying models (preferably to cloud based environments) and presenting outcomes
- Strong team player that is flexible and creative learning and delivering in different technologies
- Ability to learn and lead with minimal oversight and work on several research projects at the same time
- Proven success in contributing to a team-oriented environment
- Ability to simplify and explain complex topics to stakeholders and non-technical audience
Qualifications:
- Bachelor’s or Master’s degree in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering or Information Technology. 3+ years preferred
Location
- Bangalore (India)
Role & Responsibilities
As a Senior Managing Consultant, you will develop key client strategies, lead client engagements across a range of industries and types of projects, such as consulting services, Experimental Analytics, digital marketing or data and analytics. Few of the key activities you are expected to perform are:
- Function as a senior project manager for delivery projects
- Leads small team of Associate Analysts, Consultants, Associate Managing Consultants, Managing consultants in AP region
- Rigorously and logically identify issues covering client problems in the projects managed
- Generate key hypotheses and independently structures work at the project level
- Develop effective working relationships with mid- to senior-level client management
- Synthesize analyses into clear, sound recommendations
- Identify creative and useful additional analyses required and suggest new paradigms for recommendations
- Independently assess client agenda, internal culture and change readiness
- Create effective, impactful and quality assured storylines and slides at the project level
Candidate profile
- Undergraduate or master’s degree and 8-10 yrs work experience after completing your undergraduate degree
- Experience in a consulting organization as a project manager or engagement manager (ideally Tier 1 consulting firms Big 3 + Accenture, Deloitte, RB, Strategy&, ATK etc.)
- Experience directly managing multiple people across multiple projects
- Exceptional analytical and quantitative problem-solving skills and ability to structure analyses to form data-driven solutions to ambiguous client challenges
- Exposure specifically in payments and / or retail banking or merchants preferred
- Ability to communicate complex ideas effectively – both verbally and in writing – in English and the local office language(s)
- Demonstrated ability to build trust-based relationships with both mid- and executive-level client contacts
- Ability to multi-task in a fast-paced, deadline-driven environment
- Advanced Word, Excel, and PowerPoint skills required, SQL / data expertise preferred
- Candidates must be eligible to work in the country of which they are applying for a position in, as well as eligible to apply for travel visas as required by travel needs
Location
- Vietnam
- Thailand
- Indonesia
Role & Responsibilities
Overall 5 to 7 years of experience in analytics, A/B testing.
- Advanced degree in Economics/ Statistics/ Mathematics/ Finance with an emphasis on business applications.
- Knowledge of econometric and statistical techniques (predictive modelling, logistic regression, survival analysis, timeseries modelling, design of experiments, decision trees, data mining methods, and other advanced statistical and econometric techniques).
- Analytical and quantitative problem-solving skills and ability to structure analyses to form data-driven solutions to ambiguous client challenges
- Knowledge of Python, Advanced SQL or other major statistical packages
Location
- India
Role & Responsibilities
Overall 8 to 10 years of experience in marketing within Banks
- Integrated marketing experience with at least half in digital marketing leadership role in leading digital agencies, or leading global merchant verticals
- 4 or more years of managerial experience, ability to lead, assess and drive marketing solutions with client
- Strong knowledge and competence in leading digital marketing platforms, performance marketing capabilities in South Asian markets.
Location
- India
The Senior Data Architect will support on the Technical Architecture Design and Project Plan for Data Transformation. The Senior Data Architect will assist in the development of business requirements and success factors, enhancement/ assessment of existing data platforms ( On-prem / cloud), design of a technical architecture, and development of a robust project plan.
Job Duties
- Design and implement effective database solutions and models to store and retrieve data.
- Examine and identify database structural necessities by evaluating operations, applications, and programming.
- Assess database implementation procedures to ensure they comply with internal and external regulations.
- Install and organize information systems to guarantee company functionality.
- Prepare accurate database design and architecture reports for management and executive teams.
- Oversee the migration of data from legacy systems to new solutions.
- Monitor the system performance by performing regular tests, troubleshooting, and integrating new features.
- Recommend solutions to improve new and existing database systems.
- Provide Subject Matter Expert level advice regarding all facets of Enterprise data including data strategy, data governance, data analytics, data security, big data and data visualization.
- Write requirements to incorporate a framework such as the MoSCoW method (“must have, should have, could have, won’t have”) to identify the importance of each requirement.
- Develop success factors for each development project that are verifiable and/or measurable.
- Augment existing alternatives analyses related to an ongoing data warehousing project.
Desired
- Previous experience implementing data warehouses, data lakes, and data lakehouses.
- Experience with SDLC and Agile Development methods, ML, SaaS, PaaS and IaaS, multi-cloud (AWS,Azure , Google, IBM) and hybrid cloud
Requirements
- 15+ years of relevant business analyst work
- Bachelor’s degree in a relevant field
- The ability to handle demanding situations with clarity, focus and professionalism, and to respond quickly to quick turnaround taskers.
- Identify and resolve problems in a timely manner; gather and analyze information skillfully; develop alternative solutions; Critical thinking and creative problem solving
- Ability to obtain public trust clearance
Required Technical Experience
- Experience in developing and maintaining data architectures that incorporate multiple system components and products.
- Backup and Recovery
- Experience with Database Encryption
- Experience Database Disaster Recovery Planning
Location
- Bangalore (INDIA)
Experience requirement:
- 10 years (important to have KSA experience / MADA knowledge)
Project scope:
- Cards Portfolio Expert (Strong Debit Portfolio Knowledge but also familiar with Credit)
Job description Requirements:
- Cards portfolio expert with deep knowledge in Debit within the KSA market
- Have full understating of local debit regulations and can also manage projects on the client’s behalf with MADA
- Strategic thinker as he/she will be assisting in shaping the Debit portfolio strategy for the upcoming two years
- He/she is a one-man army who can lead the initiatives internally & report to the head of cards
- Has good experience in managing debit projects with IT & Local Scheme (MADA)
- Should be fine in managing big data and creating good report structuring for the business
Additional Duties:
- The candidate will also contribute to launching campaigns, analyzing credit portfolios, identifying opportunities, and supporting the cards team with the BAU & D2D tasks.
Language requirements:
- English fluency, Arabic is a plus
Location
- Jeddah, Saudi Arabia (KSA) evant business analyst work
- Bachelor’s degree in a relevant field
- The ability to handle demanding situations with clarity, focus and professionalism, and to respond quickly to quick turnaround taskers.
- Identify and resolve problems in a timely manner; gather and analyze information skillfully; develop alternative solutions; Critical thinking and creative problem solving
- Ability to obtain public trust clearance
Required Technical Experience
- Experience in developing and maintaining data architectures that incorporate multiple system components and products.
- Backup and Recovery
- Experience with Database Encryption
- Experience Database Disaster Recovery Planning
Location
- Bangalore (INDIA)
Experience requirement:
- 8-10 years
Project scope:
- Commercial Cards Portfolio Business Development
Job description Requirements:
- Develop sales content (e.g. e-mail templates, script guidelines, etc.)
- Identify and prioritize prospects lists and lead sales discussions and pitch Client’s products to end customers
- Support operational onboarding of new customers
- Follow up with onboarded customers to ensure activation and first usage
- Review and recommend improvements to the performance management framework
- Monitor results and propose improvement measures
- Report results to Top Management
- Develop training manuals for the various stages of the sales cycle
- Conduct periodic training sessions to the sales force
- Provide regular status updates to Client’s management on progress against KPIs, through:
- Progress update meetings
- Steering committee meetings
- Regular reporting on progress status
- Leverage company’s assets and resources, when applicable, to deliver the support on the above-mentioned responsibilities
- Work closely with corporate RMs/unit heads on client introductions and support
- Work with client stakeholders (CAD, operations, policy etc. ) to maximize commercial cards sales and client onboarding
- Engage with product teams on enablers to support sales efforts
Additional Duties:
- The candidate will also contribute to launching campaigns, analyzing credit portfolios, identifying opportunities, and supporting the cards team with the BAU & D2D tasks.
Language requirements:
- English fluency, Arabic is a plus
Location
- Doha, Qatar
Experience requirement:
- 10-12 Years relevant experience
Overview:
The role of the PMO is to coordinate the different workstreams of the Help Desk that we are setting up at Egypt. He would be coordinating between both technical and business teams for coordination with the 5 largest banks in Egypt. The areas covered include remittances, tokenization, card co-badging and others. Technical expertise is a plus.
Responsibilities:
- Develop project plans and project update cadences
- Maintain a tracker
- Establish success KPIs along different milestones
- Liaise closely with the central bank task force and the program manager
- Troubleshoot issues and raise red flags to circumvent delays and problems
Knowledge & Experience:
- Minimum Bachelor’s Degree in a relevant field
- Advanced understanding of the banking and payment sector in Egypt
- Ability to understand the different complex technical payment topics
- Strong analytical skills
- Excellent interpersonal skills and ability to interact and build relationships with internal and external stakeholders
- Excellent time management, planning and organization skills
- Excellent range of communication skills, including written, verbal, and the ability to deliver compelling presentations INTERNAL
Language requirements:
- English / Arabic is mandatory
Location
- Egypt
About the Job
We are a leading data analytics company seeking a highly skilled and experienced Senior Cloud Data Engineer specializing in Azure data analytics capabilities to join our team in Bangalore. As a Senior Cloud Data Engineer, you will play a critical role in building and managing data pipelines from various source systems, including core banking systems, digital databases, and other data repositories. Your expertise in structuring data and creating data marts will be essential in enabling our analytics teams to derive valuable insights and make data-driven decisions.
Responsibilities
- Design and Develop Azure Data Pipelines: Architect, build, and maintain efficient and scalable data pipelines using Azure Data Factory, Azure Data Lake, Azure SQL Database, and other relevant Azure services.
- Source System Integration: Integrate data from diverse sources, such as core banking systems, digital databases, and third-party data providers, ensuring data quality and integrity.
- Data Transformation and Structuring: Transform raw data into structured and usable formats for analytics purposes. Implement data cleansing, enrichment, and data quality checks as part of the data preparation process.
- Create Data Marts: Design and build datamarts that cater to specific business needs and analytical requirements. Collaborate with analytics teams to understand their data needs and ensure the datamarts are optimized for their consumption.
- Azure Analytics Expertise: Leverage your deep knowledge of Azure data analytics capabilities, including Azure Synapse Analytics, Azure Analysis Services, Power BI, and other relevant tools, to drive efficient data utilization and insights generation.
- Data Governance and Security: Implement data governance policies, access controls, and data security measures to ensure compliance with industry regulations and protect sensitive data.
- Performance Optimization: Continuously monitor and optimize data pipelines and datamarts to achieve optimal performance and scalability.
- Troubleshooting and Issue Resolution: Proactively identify and resolve data-related issues, performance bottlenecks, and data inconsistencies.
- Collaboration and Teamwork: Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand their requirements and deliver data solutions that meet their needs.
Requirements:
- Minimum 7 years of hands-on experience in data engineering, with a focus on Azure data analytics technologies.
- Azure Certification: Must hold one or more relevant Azure certifications, demonstrating proficiency in designing, implementing, and managing Azure-based data solutions.
- Banking Industry Knowledge: Background or experience in the banking or financial services industry is highly preferred. Understanding banking data domains and regulatory requirements will be advantageous.
- Expertise in Azure Services: Strong expertise in Azure Data Factory, Azure Data Lake, Azure SQL Database, Azure Synapse Analytics, and related technologies.
- Data Modeling and ETL: Proficiency in data modeling concepts and ETL (Extract, Transform, Load) processes.
- Programming Skills: Proficient in one or more programming languages commonly used in data engineering, such as Python, Scala, or SQL.
- Analytical and Problem-Solving Skills: Strong analytical thinking and problem-solving abilities to design efficient data solutions and troubleshoot issues.
- Communication and Collaboration: Excellent communication skills with the ability to work collaboratively in a team environment.
- Continuous Learning: A commitment to staying updated with the latest trends and advancements in Azure data analytics.
What we offer:
- Competitive Salary and Benefits.
- Opportunity to be part of a fast-paced and growing startup. Grow your career with the company.
- Ownership – You will own your initiative and be given specific responsibilities.
- Continuous coaching & mentoring – You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe.
- Dynamic and respectful work environment – we truly value you.
Location – Bengaluru, India
About the Job
NeoStats is a new age, Data & Analytics firm offering contemporary solutions and infinite possibilities. Our mission is to create a lasting competitive advantage for our clients by transforming them into world-class, data-driven organizations. Established in 2022 to provide End to End Data & Analytics Services, we are headquartered out of UAE, with bases in India & UK. Comprising industry veterans, we enable structural transformations in Analytics powered by our expertise, true partnership, and e2e implementation approach.
We believe in driving innovation through cutting-edge technologies and insights. Our diverse team of data scientists, engineers, and analysts collaborate closely to deliver high-impact solutions to our clients’ most complex challenges. As a Senior Analytics Manager, you will be at the forefront of driving data-driven decision-making across the organization and building advanced machine learning models that power our transformative solutions.
Responsibilities
- Work with stakeholders throughout the organization to understand challenges, identify opportunities to make data-driven banking solutions.
- Perform in-depth analysis of large-scale structured and unstructured datasets to identify patterns, trends, and correlations.
- Drive business decision-making and optimize key performance indicators.
- Conduct exploratory data analysis and hypothesis testing to gain deep insights into various analysis areas like customer behavior, market dynamics, operational efficiency, etc.
- Design and develop advanced machine learning models, algorithms, and statistical methodologies to increase and optimize customer experiences, revenue generation using cross/up-sell products, and other business outcomes.
- Analyze and optimize Digital Journeys and provide insights.
- Build scalable and efficient machine learning pipelines to preprocess, transform, and analyze data for model development.
- Deploy machine learning models into production in collaboration with relative Engineers.
- Conduct research and experimentation to enhance existing models and drive innovation within the organization.
- Fostering a collaborative and knowledge-sharing culture within the team.
- Collaborate closely with cross-functional teams and business stakeholders, to understand their requirements.
Candidate Profile
- 10+ years of Banking experience in a data science role, with a focus on building and deploying machine learning models and algorithms.
- Bachelor’s or master’s degree in one of Data Science, Computer Science, Information Technology, Economics, Information Systems, Statistics, Applied Math.
- Proficiency in SQL and Python; familiarity with SAS, Scala, or Spark is a plus.
- Strong understanding of statistical concepts and methodologies and demonstrated experience in applying machine learning techniques.
- Excellent problem-solving skills.
- Experience with any major Cloud provider (e.g., Azure, GCP, AWS, etc.) is a plus.
- Excellent communication & collaboration skills, and fluency in English.
What we offer:
- Competitive Salary and Benefits
- Opportunity to be part of a fast-paced and growing startup. Grow your career with the company
- Ownership – You will own your initiative and be given specific responsibilities
- Continuous coaching & mentoring – You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe.
- Dynamic and respectful work environment – we truly value you
Location – Dubai (UAE)
About the Job
NeoStats is a new-age, Data & Analytics firm offering contemporary solutions and infinite possibilities. Our mission is to create lasting competitive advantage for our clients by transforming them into world-class, data-driven organizations. Established in 2022 to provide End to End Data & Analytics Services, we are headquartered out of UAE, with bases in India & UK. Comprising of industry veterans, we enable structural transformations in Analytics powered by our expertise, true partnership, and e2e implementation approach.
Why is working with us interesting?
Are you interested to transform the data analytics capability of our clients? We’re innovators, researchers, and concept designers. We investigate emerging technologies to identify upcoming trends around Analytics, AI, and Big Data and then apply them to new business models.
Position Overview:
We are seeking a highly skilled and experienced Data Scientist to join our team. As a Data Scientist, you will be responsible for developing and implementing advanced analytical models and solutions to drive business insights and enhance decision-making processes. You should have a solid background in data science, machine learning, and statistical analysis, along with strong programming skills and a deep understanding of business objectives.
Responsibilities:
- Design, develop, and deploy advanced analytical models and algorithms to solve complex business problems and generate actionable insights.
- Work closely with stakeholders, including business leaders, product managers, and engineers, to understand requirements, define project goals, and develop data-driven solutions.
- Analyse large, complex datasets to identify patterns, trends, and correlations. Clean, transform, and preprocess data to ensure its accuracy and reliability.
- Apply statistical techniques, machine learning algorithms, and data mining methods to develop predictive and prescriptive models. Evaluate model performance, iterate on improvements, and optimize models for scalability and efficiency.
- Identify relevant features and variables that can enhance model performance and contribute to business goals.
- Communicate complex analytical findings and insights to technical and non-technical stakeholders through effective data visualizations, reports, and presentations.
- Keep abreast of the latest advancements in data science, machine learning, and big data technologies. Identify and recommend new tools, methodologies, and best practices to improve data science capabilities within the organization.
- Provide guidance and mentorship to junior data scientists, helping them grow their skills and expertise in data science techniques and methodologies.
- Collaborate with external partners, such as research institutions or universities, to explore innovative data science approaches and foster collaborative research projects.
- Ensure compliance with data privacy regulations and ethical guidelines while working with sensitive and confidential data.
Qualifications:
- Bachelor’s or master’s degree in computer science, Statistics, Mathematics, or a related field.
- Banking experience required.
- 7+ years of professional experience in data science, machine learning, or a related field.
- Strong statistical analysis, predictive modeling, and machine learning algorithms expertise.
- Proficiency in programming languages such as Python, R, or Scala, along with experience using data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn).
- Solid understanding of database systems, SQL, and data manipulation techniques.
- Experience with big data processing frameworks (e.g., Hadoop, Spark) and distributed computing environments.
- Demonstrated ability to translate business problems into analytical solutions and deliver actionable insights.
- Excellent data visualization and communication skills, with the ability to present complex concepts to technical and non-technical stakeholders.
- Strong problem-solving skills and the ability to work independently or in a team-oriented, collaborative environment.
Location – Bangalore, India
About the Job
NeoStats is a new age, Data & Analytics firm offering contemporary solutions and infinite possibilities. Our mission is to create a lasting competitive advantage for our clients by transforming them into world-class, data-driven organizations. Established in 2022 to provide End to End Data & Analytics Services, we are headquartered out of UAE, with bases in India & UK. Comprising industry veterans, we enable structural transformations in Analytics powered by our expertise, true partnership, and e2e implementation approach.
We are looking for highly talented Data Scientist to join our team in Bengaluru, India. If you are looking for a place where you can gain hands-on experience and create a direct impact, then this may be the place for you! The ideal candidate will have a track record as a significant individual contributor as well as a strong team player.
Responsibilities
- Consult to understand business needs and translate those into technical outcomes relating to effective data solutions. Identify, interpret, and communicate meaningful insights, conclusions, and report to clients.
- Work with the team to produce end-to-end data analytics and BI solutions, including MIS, predictive models, experimentation frameworks, and deep analysis.
- Play an integral role in data preparation and data wrangling for exploratory data analysis and building AI solutions. Gather, engineer, and prepare data for stakeholders to enable smarter decision making. Use a broad set of data curation and analytical tools and techniques to enable the development of quantitative and qualitative business insights.
- Identify problems and analyze the development of KPIs. Deep dive and extract, organize, analyze, and visualize data using Power BI. Support management with important strategic analysis and recommendations.
Candidate Profile
- Bachelor’s or Master’s degree in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering or Information Technology.
- 3+ years’ experience in data science with banking exposure.
- Proficiency in SQL and Python; familiarity with SAS, Scala or Spark is a plus.
- Experience in development and deployment of predictive models and clustering methods using languages such as Python or R. SAS is a plus.
- Experience in translating non-trivial business requirements into data science solution, developing and deploying models (preferably to cloud-based environments) and presenting outcomes.
- Strong team player that is flexible and creative learning and delivering in different technologies.
- Ability to learn and lead with minimal oversight and work on several research projects at the same time.
- Proven success in contributing to a team-oriented environment.
- Ability to simplify and explain complex topics to stakeholders and non-technical audience.
What we offer:
- Competitive Salary and Benefits.
- Opportunity to be part of a fast-paced and growing startup. Grow your career with the company.
- Ownership – You will own your initiative and be given specific responsibilities.
- Continuous coaching & mentoring – You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe.
- Dynamic and respectful work environment – we truly value you.
Location – Bengaluru, India
About the Job
NeoStats is a new age, Data & Analytics firm offering contemporary solutions and infinite possibilities. Our mission is to create lasting competitive advantage for our clients by transforming them to world-class, data driven organizations. Established in 2022 to provide End to End Data & Analytics Services, we are headquartered out of UAE, with bases in India & UK. Comprising of industry veterans, we enable structural transformations in Analytics powered by our expertise, true partnership and e2e implementation approach.
Responsibilities
- Collaborate with business stakeholders, data architects, and business analysts to understand and document data requirements.
- Design logical and physical data models that meet business needs and align with industry best practices.
- Develop and maintain data dictionaries, ensuring that data definitions and relationships are clearly documented.
- Identify and resolve data model inconsistencies, redundancies, and anomalies to improve data quality and integrity.
- Perform data profiling and analysis to identify data patterns, trends, and anomalies.
- Work closely with database administrators to ensure the efficient implementation and optimization of data models in database management systems.
- Evaluate and recommend data modeling tools, methodologies, and standards to improve data modeling processes and productivity.
- Collaborate with ETL (Extract, Transform, Load) developers to define data integration requirements and design data transformation processes.
- Participate in data governance initiatives to ensure compliance with data standards, policies, and regulations.
- Stay up to date with industry trends, emerging technologies, and best practices in data modeling and data management.
- Design and develop an API gateway to implement data tokenization/masking.
Qualifications:
- Bachelor’s degree in Computer Science, Information Systems, or a related field. A Master’s degree is a plus.
- Proven experience as a Data Modeler or in a similar role, designing and implementing data models for enterprise-level applications.
- Strong understanding of data modeling concepts, principles, and methodologies, such as entity-relationship modeling, dimensional modeling, and data normalization.
- Proficiency in data modeling tools such as ERwin, PowerDesigner, or similar.
- In-depth knowledge of relational database management systems (RDBMS) and SQL.
- Familiarity with data integration concepts and tools, including ETL processes and data warehousing.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Excellent communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders.
- Familiarity with data governance frameworks, data quality management, and data security concepts.
- Ability to work independently and manage multiple priorities in a fast-paced, dynamic environment.
- Ability to design and implement data tokenization/masking systems.
- Experience in developing secure API Gateways.
- Understanding of python API frameworks such as Flask or FastAPI.
What we offer:
- Competitive Salary and Benefits.
- Opportunity to be part of a fast-paced and growing startup. Grow your career with the company.
- Ownership – You will own your initiative and be given specific responsibilities.
- Continuous coaching & mentoring – You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe.
- Dynamic and respectful work environment – we truly value you.