Design, Data Analysis and Interpretation• Innovate analytic methods to drive new-in-kind insights (e.g., text analytics, topic modeling, sentiment analysis and word embeddings)• Collaborate in researching, consulting, and analyzing system program needs to inform efficient research design.• Responsible for providing technical design, development, and deployment of innovative data solutions. Guide the team with expertise in SQL, Python, Dax, M-Query, and PostgreSQL methodologies towards successful project completion.• Evaluate technology limitations and deficiencies in existing systems to drive innovation in analytic methods.• Test, debug, diagnose, and correct errors in applications programming language to ensure data integrity and accuracy.• Provide expertise in developing proposals and strategies for software design activities, aligning with project objectives and quality standards.Data Engineering, Reporting Tools and Automation• Consistently apply best practices in building/purchasing tools for:o User experience/Interfaceo Database structure and data collectiono Data accessibilityo Varied analysis methodologieso Data interoperabilityo Scalabilityo Flexibilityo Replicabilityo Ease of maintenance and enhancements/updates• Follow best practices and industry standards while implementing Data Engineering and Mastering functions.• • Build and maintain Data Pipelines using SQL, Python, etc.• Engage in day-to-day data operations involving troubleshooting data pipelines and monitoring and maintaining job schedules.• Apply best practices in migrating and interpreting quantitative models and methods into operational and client-facing systems.• Utilize Master Data Management in-house tools to ensure filtering, mastering, and data quality rules are appropriately enabled and adequately tested.• Test, debug, and correct errors in applications programming language within established quality standards.

Roles and ResponsibilitiesDesign, Data Analysis and Interpretation• Efficiently design research by leveraging existing content, data, and R&A support resources. Work with manager and KIL to determine appropriate time and resource intensity for research and content creation.• Innovate analytic methods to drive new-in-kind insights (e.g., text analytics, topic modeling, sentiment analysis and word embeddings)• Collaborate in researching, consulting, and analyzing system program needs to inform efficient research design.• Responsible for providing technical design, development, and deployment of innovative data solutions. Guide the team with expertise in SQL, Python, Dax, M-Query, and PostgreSQL methodologies towards successful project completion.• Evaluate technology limitations and deficiencies in existing systems to drive innovation in analytic methods.• Test, debug, diagnose, and correct errors in applications programming language to ensure data integrity and accuracy.• Provide expertise in developing proposals and strategies for software design activities, aligning with project objectives and quality standards.Data Collection, Operations and Management• Efficiently create and manage data assets by innovating and improving upon required effort, scalability, and quality (e.g., through automation) of data acquisition (e.g., survey instruments, data partnerships and data scraping) and data production (e.g., data cleaning and processing).• Analyze business requirements, design solutions, and implement functionality related to Data Management.• Apply best practices in testing, QA and documentation to ensure successful product release.• Write and maintain program code to meet system requirements and technical specifications, enhancing data integrity and usability.• Offer advice and guidance on data acquisition methods and best practices to ensure privacy, analysis, and storage standards are upheld.

Research Design, Data Analysis and Interpretation:• Researching, consulting, analyzing, and evaluating system program needs to determine appropriate data acquisition methodology.• Identifying technology limitations and deficiencies in existing systems and associated processes, procedures, and methods during the analysis phase.• Apply best practices to determine appropriate data acquisition methodology for specific research objectives and hypothesis testing for monthly primers.• Innovate analytic methods to drive new-in-kind insights (e.g., text analytics, topic modeling, sentiment analysis and word embeddings)• Apply analytical best practices optimizing for hypothesis testability, credibility with clients and their stakeholders, logical defensibility, and respondent engagement.• Apply best practices to design, monitor, and correct for sample biases/skews during data acquisition, data cleaning, and analysis to ensure defensibility and exportability of findings.• Responsible for providing technical design, development, and deployment of innovative data solutions. Guide the team with expertise in SQL, Python, Dax, M-Query, and PostgreSQL methodologies towards successful project completion.• Demonstrate a customer-centric mindset in the selection of methodological, analytic and data quality techniques to ensure stakeholders and clients can understand and have confidence in our approaches.• Innovate analytic methods to drive new-in-kind insights (e.g., text analytics, topic modeling, sentiment analysis and word embeddings) to raise the overall newsworthiness, relevance and timeliness of primers.• Test, debug, diagnose, and correct errors in applications programming language to ensure data integrity and accuracy.• Provide expertise in developing proposals and strategies for software design activities, aligning with project objectives and quality standards.

Data Asset Management:• Apply best practices, including researching, consulting, analyzing, and evaluating system program needs, in stewarding clients throughout the diagnostics/benchmarking lifecycle.• Drive innovation and continuous improvement, including testing, debugging, diagnosing, and correcting errors and faults in an applications programming language within established testing protocols, guidelines, and quality standards, to reduce customer and/or internal effort to fulfill diagnostics/benchmarks.• Drive innovation and continuous improvement to develop new data assets and improve upon existing assets, writing and maintaining program code to meet system requirements, system designs, and technical specifications.• Contribute to defining, scoping, and fulfilling deliverables and/or products using data assets, writing, updating, and maintaining technical program, end-user documentation, and operational procedures.• Apply best practices, including providing advice, guidance, and expertise in developing proposals and strategies for software design activities, to create data-related deliverables and/or products that are actionable, consumable, and easy to use (e.g., forecasting reports, benchmarking reports, data views).• Effectively engage internal and external stakeholders to improve products, providing advice, guidance, and expertise in developing proposals and strategies for software design activities and for recommending software upgrades.• Contribute to the generation of high-level overview summary/interpretation of the collected data to create quick visibility into the data and associated data findings, researching, consulting and analyzing program needs.• Adhere to data governance policies and apply best practices for documentation, storage, tracking, etc. to ensure replicability and minimize business continuity risk, writing, updating, and maintaining technical program, end-user documentation, and operational procedures.

· Conducted global primary and secondary research to analyze various industries · Gathered data through primary and secondary research to carry out market, customer and vendor analysis· Analyzed the trends impacting the industry/technology to build industry forecasts· Delivering research findings as an industry / customized reports.· Delivering timely and high quality research reports· Participating in client briefings to present research findings

• Gathered customer requirements, understand their business policies and standard operating procedures• Mapped customer requirements against GoFrugal business automation solution and provide consultation with best practices•Maintained and expanded customer base by building rapport with key customers & identifying new customer opportunities•Conducted onsite demos for prospects, create commercial proposal for order closure & manage customer relationship during complete customer life cycle•Created, enhanced and improved customer experience and drive business through channel partners•Collaborated with cross functional teams to assure timely delivery of services to clients and ensure that the client's expectations are met