Description:

• We are looking for a Principal Data Analyst to join our newly established team responsible for delivering Data and Analytics capability to Financial.




• The ideal candidate will need strong interpersonal skills, a self-driven data geek, who also excels in communicating and building relationships with others.




• You need to be comfortable presenting to senior leaders, and able to clearly and concisely convey complex / technical information in a manner that others can understand.

Ideal Background:

• 10+ years of experience system analysis, analyzing, summarizing, and presenting data; sound analytical and problem-solving skills




• 8+ years experience in Data Analytics / Business intelligence roles or similar




• 8+ years experience with BI analytical and reporting tools (SQL, Power BI, Python/R, Tableau, etc.)
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• Proven ability to work well and collaboratively, with multiple teams or departments for business growth or profitability goals




• Excellent verbal and written communication skills; ability to translate complex analytic results into meaningful insight, conveying complex or technical information in a manner that others can understand.




• Experience n tracking, analyzing and data products modeling in banking, account administration, health benefit administration, payment, investment




• Skills in building roadmaps, prioritizing backlogs, lead proof of concept, etc. to improve data quality processes, create efficiencies and deliver high-quality data products




• Be a data Subject Matter Expert (SME) across their domain portfolio and drive adoption of best practice data quality, data governance and data management techniques across that portfolio

Top Requirements:

• 10+ years of experience analyzing, summarizing, and presenting data; sound analytical and problem-solving skills




• 8+ years experience in Data Analytics / Business intelligence roles or similar




• 8+ years experience with analytical and reporting tools (SQL, Power BI, Python/R, Tableau, etc.)

Team and Team size:

• I PM




• 1 data engineer, 1 data scientist, 1 Solution architect.
  

Primary Responsibilities:

• Partner with Financial Business units to understand existing tools and processes to define and execute an effective strategy to analyze data




• Track, analyze and model data products and domain in banking, account administration, health benefit administration, payment, investment




• Work with the technical product owner to develop roadmaps, prioritize backlogs, lead proof of concept, etc. to improve data quality processes, create efficiencies and deliver high-quality data products




• Be a data Subject Matter Expert (SME) across Financial portfolio and drive adoption of best practice data quality, data governance and data management techniques across that portfolio




• Evaluate and quantify data issues, making recommendations for data improvements including required process and system changes, communicate value realized through data improvement efforts




• Predict emerging customer needs and develops innovative solutions to meet them




• Solve unique and complex problems with broad impact on the business




• Lead large, complex projects to achieve key business objectives




• Translate highly complex concepts in ways that can be understood by a variety of audiences




• Influence senior leadership to adopt new ideas, products, and/or approaches

Required Qualifications:

• 10+ years of experience analyzing, summarizing, and presenting data; sound analytical and problem-solving skills




• 8+ years experience in Data Analytics / Business intelligence roles or similar




• 8+ years experience with analytical and reporting tools (SQL, Power BI, Python/R, Tableau, etc.)




• Experience in working with and analyzing financial data to develop business insight and strategy




• Complex problem-solving skills




• Proven ability to work well and collaboratively, with multiple teams or departments for business growth or profitability goals




• Excellent verbal and written communication skills; ability to translate complex analytic results into meaningful insight, conveying complex or technical information in a manner that others can understand.




• Advanced proficient with MS Excel




• Proficient with SQL, querying complex datasets using SQL or similar




• Proficient with Microsoft Office Suite

Preferred Qualifications:

• Bachelor's degree in a quantitative discipline (finance, accounting, mathematics, engineering)




• Experience in healthcare data knowledge and understanding across multiple data asset types (member, consumer, provider, etc.,)




• Healthcare and Financial data and data models experience




• Proven commitment and desire to support client facing and customer driven culture




• Experience working with MS Access




• Experience with Azure Cloud Service
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