Core Responsibilities:

• Meticulously investigate the data integrity and quickly pinpoint quality issues that need to be addressed. 
• Explain targeted data-driven results that are client facing in a way that is consumable by client personnel and respond to their feedback to further solution and add value for the conversation
• Align with client workstreams and create data-driven performance measures to support the strategy of improving client data accuracy 
• Iterate with internal key account stakeholders (Account Manager, Delivery PM, CSM) on data strategy to get to the right story for each client and account for potential objections. 
• Setup processes for account manager requests and follow reproducible methods that can be standardized for client reports and presentations 
• Create and present meaningful and digestible visualizations and reports with charts and graphs to explain the data and associated conclusions

Technical Responsibilites:

• Work with Customer team to review large datasets in customer csv/xls files and assess what further analysis needs to be done to produce a client story
• Utilize basic ETL and programming skills (SQL, Python, BASH, SQLite) to join, query, filter and manipulate data; applying your knowledge of provider data and customer situation.
• Present technical findings to leadership teams and customer stakeholders in a non-technical way
• Distill client data into recommendations that are part of a holistic strategy for meeting enterprise goals
• Create a strategy focused view of the data and identify long term trends that tie to client milestones

About You:

• You have a keen, methodical eye for factors affecting data integrity: you can quickly pinpoint why and how computational processes fail to produce expected results
• You have excellent SQL coding skills to be able to quickly setup and query a DB with readable/shareable code
• You have a proven record of data visualization and summarization that can be translated into reports and client facing data stories
• You are ready to overly communicate and triage issues to the right stakeholders before delivery to a client
• You take your time to run through explanations with non-technical stakeholders and can expand to a global view of a product.
• You are comfortable being the subject matter expert and can communicate your expertise to clients
• You seek to standardize your organizational skills, and share these methods with others to triage analytics work and encourage the best process for requests.

Required Qualifications:

• 3+ years of direct experience massaging and solutioning around messy, un-structured, and non-uniform data; exercising strong statistical, quantitative, and problem-solving skills
• 3+ years of data-focused work experience in a social, biological, or physical science; or demonstrable, analytical achievements in the governmental, public, or non-profit sector. (Plus point strong preference for research experience)
• 5+ years of direct experience data-wrangling large datasets  and direct expertise in quantitative analysis or large datasets, ability to tell a story backed by data.