Padmi

Data Analyst

United StatesPosted 1 month ago
Data Science And StatisticsUnspecified
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Role: Data Analyst

Duration: 6 Months Location: Remote Description: • Engage with internal partners to understand business strategy, questions, goals, and risk. Bring structure to business requests, translate requirements into an analytical project approach, and lead projects through completion. • Provide tactical and strategic guidance to peers, specifically as it relates to performance reporting. • Leverage data to inform risk management practices, set benchmarks, and risk tolerance thresholds. • Acquire and compile structured and unstructured data and verify its quality, accuracy, and reasonableness. • Perform analyses of historical data to surface trends and insights using advanced analytical methods. • Prepare and deliver visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement. • Develop, own, and manage recurring analytic or reporting processes. • Proactively expand knowledge of business and analytics and shares with team members. • Share and document best practices. • Participate in special projects and perform other duties as assigned.

Required: • Minimum of three years related work experience. • Undergraduate degree or equivalent combination of training and experience. .Stakeholder management, Tableau (preferred)/Power BI, SQL, Python, risk management experience.

Core Responsibilities

  1. Engages with internal partners to understand business strategy, questions and goals and risk. Brings structure to business requests, translates requirements into an analytical project approach, and leads complex projects through completion. Provides tactical and strategic guidance to peers. Serves as the analytics expert on cross-functional teams for strategic initiatives.
  2. Leverages data to inform risk management practices within business units, particularly as it relates to risk tolerances for vital signs and key performance indicators.
  3. Acquires and compiles structured and unstructured data and verifies its quality, accuracy and reasonableness.
  4. Performs analyses of historical data to surface trends and insights using advanced analytical methods.
  5. Prepares and delivers expert level visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement.
  6. Develops, owns and manages recurring analytic or reporting processes.
  7. Participates in special projects and performs other duties as assigned.

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