Perform moderately complex data analysis to support and drive strategic initiatives and business needs.
Develop data visualization solutions to display analytical results insights for business consumption.
Understand the business question context to create a logical structured analytical approach solution and translate it to the business impact/value.
Support the strategy and resolution of highly complex and unique challenges requiring analytical application of industry techniques, complex data from multiple sources, and business insights.
Develop a strong understanding of the internal data structures to effectively deliver analytical solutions.
Ensure adherence to compliance and legal regulations and policies on all projects.
Help the team deliver solutions that are long-term, large-scale, and require vision, creativity, innovation, advanced analytical, and coordination of highly complex activities.
Support multiple complex projects, analyses, and application of techniques within the supporting businesses and across the enterprise.
Required Qualifications:
5-6+ years of experience in Business Analytics, Management Reporting, Statistics, or equivalent demonstrated through one or a combination of the following: work experience, training education.
Experience in analytical languages platforms such as SQL, SAS, Python, Teradata, etc.
Experience in BI reporting using SSRS, Tableau, Power BI and/or ThoughtSpot.
Strong understanding of data structures, data warehousing ability to wrangle/ manipulate data for analytical needs.
Experience in working on statistical techniques like segmentation, regression, decision trees, forecasting etc.
Strong analytical, problem solving and project management skills.
Strong communication and writing skills with high proficiency in grammar and articulation of insights findings.
Highly analytical, deeply curious about data and how to make it actionable.
Ability to deep dive on data issues, resolve to the fullest, challenge interpretation, cull insights and make recommendations on facts and logics.
Ability to learn upskill on various analytics tools techniques.
Post Graduate degree (MBA/M.Tech./M.Sc. or equivalent) in any quantitative subjects like Statistics, Mathematics, Computers or Economics.
Good-to-have qualifications:
Financial services (e.g., consumer credits, small business banking) experience is good to have.
