Position: Senior/Manager Analytics
Company: Blue Ops
Location: Chicago, IL
THE ROLE
REQUIRED QUALIFICATIONS
• Exceptional verbal and written communication skills, attention to detail, and interpersonal skills
• Strong analytical and problem-solving capabilities, with the ability to synthesize data into insights and hypotheses - not just reported numbers
• Comfort managing multiple projects of varying scope and complexity simultaneously
• Confidence communicating with users, customers, and colleagues 2-3 levels up/down, across disciplines and all levels of management
• Ability to simplify complex data insights for non-technical stakeholders
• Experience managing engagement execution - deliverable timelines, economics, scope, quality, and customer satisfaction
• Proven ability to manage, mentor, and develop teams of data professionals
• Ability to adapt on the fly, comfort with ambiguity, and a hands-on, can-do mindset
• Travel: typical range 5-10%
WHAT YOUR RESUME SHOWS
• Undergraduate B.S. degree
• 5-8+ years of relevant experience in analytics, data, consulting, or similar fields
• Proficiency in cloud-based data platforms such as Azure DataLake, AWS, and Snowflake
• Advanced expertise in data visualization tools like Power BI, Tableau, or Qlik
• Strong SQL skills; experience with Python, R, and other scripting languages for data manipulation, automation, and querying
• Experience with ETL tools such as Azure Data Factory, Informatica, or Talend, and data warehousing platforms (e.g., Snowflake, Redshift)
• Understanding of data governance, security, and best practices; familiarity with M365 applications and their integration with data platforms
• Strong consulting background - identifying client business needs, delivering data-driven solutions, and leading workshops, trainings, and knowledge transfer
• Experience with Agile methodologies and project management tools like Jira or Trello
• Ability to develop business cases and KPIs, and translate data findings into strategic insights and actionable recommendations
• Preferred: familiarity with machine learning algorithms, statistical modeling, and DevOps practices in analytics or ML deployment
THE PACKAGE
The salary range for this position is: $108,675 - $190,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. Blue Ops offers a comprehensive benefits package that includes:
Health
• Medical insurance: three HealthPartners High Deductible Health Plan options paired with a Health Savings Account (HSA)
• Dental insurance: Principal PPO plan with 100% in-network preventive care
• Vision insurance: Principal / VSP PPO plan
Wealth
• Retirement plan: 3% employer contribution regardless of employee contribution (eligible after 6 months of employment)
• Health Savings Account (HSA) paired with medical plan enrollment
• Professional development reimbursement (eligible after 6 months) and complimentary Datacamp access for all employees
• Tuition reimbursement for approved advanced degrees aligned with the company's mission
• Employee referral bonus program ($2,500 per successful referral)
Well-Being
• Company-paid basic life insurance and Accidental Death & Dismemberment coverage ($50,000 each)
• Optional short-term and long-term disability insurance
• 3 weeks of paid time off per calendar year
• 8 paid company holidays
• Summer Fridays: early release at noon between Memorial Day and Labor Day (subject to workload and client deliverables)
• Work From Anywhere: the week of Thanksgiving, the week between Christmas and New Year's, plus one additional flexible week per year
Insurance coverage begins the 1st of the month following 30 days of employment. This is an overview of benefits offered by Blue Ops and is subject to terms, conditions, and change.
