Project Mgr, Business Intelligence

In this position, the successful candidate will play a key role in designing, implementing, and managing business intelligence solutions and building a data lake that integrates sales, finance, HR, and operations data. The role is responsible for understanding key business issues, creating schema structures, and working with a variety of departments and stakeholders on projects. These projects will focus on creating sustainable and scalable data solutions that enable the Business Intelligence team to deliver reporting and analytics to the wider business.

Areas that play to your strengths

All the responsibilities we'll trust you with:

• Interpret and analyze RBDC’s business requirements and translate them into clear functional and analytical specifications.

  Apply these analytical specifications to large SQL tables in Snowflake, following best practices so the Business Intelligence team can use the tables to produce reports and insights.

  Perform data cleansing, normalization, and structuring to ensure high-quality, reliable datasets and outputs for both recurring and ad hoc reporting.

• Serve as the primary driver & contact for internal RBDC IT teams

  Work with IT teams to create sustainable & scalable data pipelines for the Business Intelligence team to utilize for reporting & insights; coordinate with IT to ensure data pipelines are long-standing with best practices.

  Create ‘warning system’ for Business Intelligence core data schemas to flag data issues from upstream early

  Work with IT teams on all technical developments, making clear requirements with future-thinking of all reporting impacts on Business Intelligence reporting suite.

  Work with IT teams to create testing in Quality environments, allowing for Business Intelligence verification & select business stakeholder testing.

  Understand & analyze RBDC business requirements into clear functional and analytical specifications.

• Ensure that all projects are delivered on time, within scope, and within budget.

  Assist in defining project scope and objectives, involving all relevant stakeholders and ensuring technical feasibility.

  Accurately assess resource requirements and compare them with resource availability and allocation.

  Develop a detailed project plan to present to decision-makers, and subsequently use it to monitor and track progress.

  Manage changes to project scope, schedule, and costs.

  Provide regular project updates to various stakeholders regarding strategy, adjustments, and progress.

  Measure project performance, clearly identifying the organization’s benefits from its project investments.

  Report issues to management and escalate matters as necessary.

  Establish and maintain relationships with third parties and vendors when required.

  Create and maintain comprehensive project documentation.

EXPERIENCE

Your areas of knowledge and expertise

that matter most for this role:

• Education and Experience
• Bachelor’s degree in Business, Economics, Information Systems, Computer Science, Engineering, or a related field; or equivalent work experience
• 3 years of experience in a data analysis–related role with a strong technical component
• Experience working in a data-driven environment (e.g., consumer goods, retail, technology, finance, healthcare)
• Technical Skills
• Strong proficiency in SQL for querying, joining, aggregating, and validating data from relational databases or data warehouses
• Hands-on experience with at least one programming language used for analysis or automation, preferably Python or R
• Experience building interactive dashboards and reports in Tableau (or similar tools such as Power BI or Looker), including data modeling within the tool
• Advanced Excel skills (complex formulas, pivot tables, lookups, data cleaning, and basic automation)
• Understanding of data modeling concepts (e.g., star schema, dimensions/facts) and familiarity with ETL/ELT concepts
• Understanding of Medallion architecture for data structures
• Understanding of Git and GitHub, with the ability to communicate clearly with both technical and non-technical teams
• Basic knowledge of statistical concepts (e.g., distributions, correlation, hypothesis testing, regression) and their application in business contexts
• Analytical and Functional Skills
• Ability to translate business questions into data requirements and convert analytical results into business insights
• Proven ability to translate business problems and requirements into clear analytical questions, data specifications, and technical solutions
• Comfortable working with multiple large datasets at different levels of aggregation, including data cleansing, transformation, and validation
• Ability to synthesize findings into clear, concise recommendations that support business decisions
• Strong understanding of data quality dimensions (accuracy, completeness, consistency, timeliness) and their impact on reporting and decision-making
• Demonstrated experience improving or automating existing reports, dashboards, or analytical processes
• Ability to maintain a strong attention to detail and accuracy while also understanding the broader business context
• Business and Communication Skills
• Strong stakeholder management skills; able to work with business users to gather requirements, clarify needs, and manage expectations
• Excellent written and verbal communication skills; able to explain complex technical or analytical concepts to non-technical audiences
• Experience facilitating workshops, requirements-gathering sessions, or training for end users on reports and dashboards
• Proven ability to work effectively across functions (e.g., IT, Data Engineering, Finance, Sales, Operations)
• Soft Skills
• Curious, analytical mindset with a passion for empirical, data-driven decision-making
• Strong problem-solving skills and comfort working in ambiguous situations
• Passion for automating repetitive or manual tasks
• Self-motivated and able to work independently, while also collaborating effectively in a team environment
• Organized, with strong time-management skills and the ability to prioritize multiple concurrent tasks
• Preferred Experience and Qualifications
• Experience with cloud data platforms (e.g., Snowflake, BigQuery, Redshift, Azure Synapse)
• Experience in a specific domain (e.g., CPG/beverage, retail, e-commerce, finance)
• Experience documenting requirements and processes using tools such as GitHub (for version control and documentation)
• Physical Requirements
• Regularly required to use hands to finger, handle, or feel; reach with hands and arms; and talk or hear
• Frequently required to walk and sit
• Occasionally required to stand, stoop, kneel, crouch, or crawl
• Regularly required to lift and/or move up to 25 pounds as needed
• Specific vision abilities required include close vision, distance vision, peripheral vision, depth perception, and the ability to adjust focus
• May be exposed to moving mechanical parts and outside weather conditions

• Travel 0-10%
• Permanent
• Benefits eligible