Analytics Manager / Senior Manager

About the role

This role is for a Manager or Senior Manager in the Analytics department at Blue Ops. You will be responsible for leading client engagements, building and developing teams, and working alongside high-caliber peers.

Responsibilities

• Own client engagements end-to-end
• Build and develop teams of data professionals
• Work alongside high-caliber peers who push you to grow sharper and faster
• Communicate with users, customers, and colleagues at various levels
• Manage engagement execution, including deliverable timelines, economics, scope, quality, and customer satisfaction
• Develop business cases and KPIs, and translate data findings into strategic insights and actionable recommendations

Requirements

• Exceptional verbal and written communication skills
• Attention to detail and interpersonal skills
• Strong analytical and problem-solving capabilities
• Experience managing multiple projects of varying scope and complexity
• Ability to simplify complex data insights for non-technical stakeholders
• Experience managing, mentoring, and developing teams of data professionals
• Comfort with ambiguity and a hands-on, can-do mindset
• Travel: typical range 5–10%

Qualifications

• Bachelor’s degree in a relevant field
• 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
• Familiarity with machine learning algorithms, statistical modeling, and DevOps practices in analytics or ML deployment

Skills

• Cloud-based data platforms (Azure DataLake, AWS, Snowflake)
• Data visualization tools (Power BI, Tableau, Qlik)
• SQL skills
• Python, R, and other scripting languages for data manipulation, automation, and querying
• ETL tools (Azure Data Factory, Informatica, Talend)
• Data warehousing platforms (Snowflake, Redshift)
• Data governance, security, and best practices
• M365 applications
• Agile methodologies and project management tools (Jira, Trello)
• Machine learning algorithms, statistical modeling, and DevOps practices

Benefits

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.