Manager, Business Analytics

What You'll Do:

• Strategic Alignment:

  Align analytics initiatives with key business objectives and contribute to the development of data-driven strategies that lead to measurable improvements.

• Become a Trusted Advisor:

  Partner closely with business users across various departments to understand their strategic objectives, identify their analytical requirements, and translate those needs into clear and actionable data and reporting solutions.

• Consultative Analysis:

  Engage with stakeholders to explore their business questions, guide them on appropriate analytical approaches, and help them define key metrics and performance indicators (KPIs).

• Data Architecture & Design:

  Partner with our Data and Insights team to design and develop robust and efficient data models and datasets optimized for visualization and analysis, ensuring data accuracy and integrity.

• Expert Tableau Development:

  Leverage your deep expertise in Tableau to create intuitive, interactive, and visually compelling dashboards and reports that effectively communicate key insights and trends.

• Data Wrangling & Transformation:

  Utilize Fivetran and/or Python scripting to extract, transform, and load data from various sources into our data warehouse or analytics platforms.

• End-to-End Ownership:

  Take full ownership of the analytics projects you lead, from initial scoping and data acquisition to dashboard deployment, user training, and ongoing maintenance.

• Drive Data Literacy:

  Educate and empower business users to effectively utilize dashboards and data insights to drive business outcomes.

• Stay Ahead of the Curve:

  Continuously explore new data visualization techniques, analytical methodologies, and data technologies to enhance our analytics capabilities.

• Collaborate and Communicate:

  Effectively communicate complex analytical findings and recommendations to stakeholders. Lead cross-functional collaborations to achieve project goals.

• Data Governance & Quality:

  Ensure data accuracy, consistency, and integrity in all developed datasets and dashboards, contributing to data governance efforts.

• Performance Monitoring & Iteration:

  Monitor the performance and user adoption of developed dashboards, gather feedback, and implement necessary revisions for continuous improvement.

• Documentation & Training:

  Develop comprehensive documentation for created dashboards and datasets. Provide training and support to business users to ensure effective utilization of analytics tools.

What You'll Bring:

• 5-7+ years of experience in a Business Analytics, Data Analytics, or similar role supporting

  Finance teams

  with increasing responsibility.
• Proven experience working directly with business stakeholders to understand their needs and deliver data-driven solutions.

• Expert-level proficiency in Tableau

  , including advanced calculations, parameters, actions, and performance optimization.
• Strong hands-on experience in building and optimizing data sets for Tableau.
• Solid experience with data integration tools, preferably

  Fivetran

  , and the ability to design and implement data pipelines.
• Proficiency in

  Python

  for data manipulation, cleaning, and transformation (e.g., using libraries like Pandas).
• Strong understanding of data warehousing principles and experience with platforms such as Snowflake or Redshift.
• Advanced SQL skills for data extraction, transformation, and querying.
• Excellent problem-solving and analytical skills with a strong attention to detail and the ability to translate business questions into analytical frameworks.
• Exceptional written and verbal communication skills, with the ability to present complex data insights effectively to both technical and non-technical audiences.
• Proven ability to manage multiple analytics projects simultaneously, prioritize tasks, and meet deadlines effectively.
• Excellent collaboration and interpersonal skills with the ability to build strong working relationships with business stakeholders.
• Bachelor's degree in a quantitative field such as Engineering, Finance/Accounting/ Business, Economics, Statistics, Mathematics, Computer Science, or a related discipline. (Master's degree a plus).

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