Job Description

Data Operations & Reporting Analyst - Strategy & Analytics

About Cartesian

Cartesian is seeking great analytical thinkers and problem solvers to join our talented team of strategy consultants. Our strategy consulting team works with clients on engagements that drive value and growth within the communications, media, and technology sectors. Cartesian’s Strategy & Analytics practice has a 20+ year track record helping companies and investors develop and implement market-leading strategies to solve their most important challenges.

We take a data/technology-focused approach to help our clients craft business strategies, evaluate market opportunity, improve performance, and drive revenue growth through competitive differentiation. As a boutique consulting practice, we use our subject matter expertise, data-driven methodologies, and creative problem-solving skills to rapidly drive meaningful, measurable results.

Cartesian is proud to be an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

About this Job

Data Analysts in our strategy and analytics practice work on 2-5 person project teams to build and manage complex data processes that provide actionable analytics and reporting to our clients. We are looking for individuals who are excited to use a range of technologies to analyze data, develop and automate analytics and reporting workflows, build predictive models, investigate complex processes, identify/execute process improvement opportunities, and communicate clear recommendations to clients in a fun, fast paced environment.

Responsibilities include:

• Contribute to the development, execution, and management of multi-year analytics focused consulting engagements by developing and managing critical ETL, analytics, and reporting processes
• Gather and process structured and unstructured data in a wide variety of formats (Excel, text, csv, database etc.) from multiple sources to support the delivery of comprehensive and accurate information to our clients
• Build thoughtful quality control process to ensure data integrity from load stages through the end-to-end data integration and dashboard/reporting development processes
• Proactively resolve data exceptions through investigative analysis and by collaborating with our technical team to explore and creatively resolve technical challenges or issues
• Develop, maintain, and update analytics frameworks, reports and web-based dashboards to meet client needs, including the development of actionable KPIs and summary metrics to be reported
• Create thoughtful data visualizations that communicate insights to both technical and non-technical stakeholders
• Build and maintain predictive analytics and machine learning models that provide actionable insight to our clients
• Provide analysis to support client requests, including providing data summaries, conducting statistical analysis, and synthesizing findings to build a fact base and tell compelling stories

Desired Skills and Experience

• A passion for problem solving, with a focus on creative solutions to meeting client needs
• Strong organizational and communication skills, with an ability to clearly articulate actions and plans to the internal team and client stakeholders, and to maintain clear documentation of key data processes
• Experience developing ETL processes, and visualizing data to generate clear executive-level reports and/or dashboards from underlying data sources
• Effective time management, and ability to proactively set priorities/objectives and execute against them
• A desire to work both independently and in team settings
• Experience working with and managing complicated and/or messy data from numerous sources
• Bachelor’s degree preferably in a quantitative field (e.g., computer science, business, mathematics, statistics)
• 0-2 years in a quantitative data operations or analytics role

Optional but preferred is knowledge and/or experience in the following:

• Data Analysis conducted in SQL, Python, R, SAS, Alteryx, etc.
• Microsoft Office products (especially Excel and PowerPoint)
• Data visualization (Tableau, Qlik, R, etc.)

Location: Boston

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