Analytics Manager / Senior Manager
About The Position
Blue Ops Partners is a premier M&A firm serving as the most trusted partner to private equity firms, investment banks, and portfolio companies throughout the M&A lifecycle. Since 2010, we have combined deep operational expertise with cutting-edge technology and AI-driven analytics to deliver superior outcomes for our clients. Specializing in strategic FP&A advisory, operational finance, and business analytics, we partner with small to mid-sized businesses to drive financial discipline, enhance reporting accuracy, and build scalable processes that create lasting value. At Blue Ops, we’re building a team of high-impact operators who lead by example and develop the people around them. As a Manager or Senior Manager, you’ll own client engagements end-to-end, build and develop teams, and work alongside high-caliber peers who push you to grow sharper and faster. This is a place for those ready to step into real leadership and have the platform, tools, and team to make their impact felt.
Requirements
- 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
- Ability to adapt on the fly, comfort with ambiguity, and a hands-on, can-do mindset
- 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
- Experience with Agile methodologies and project management tools like Jira or Trello
Nice To Haves
- Preferred: familiarity with machine learning algorithms, statistical modeling, and DevOps practices in analytics or ML deployment
Responsibilities
- Own client engagements end-to-end
- Build and develop teams
- Manage engagement execution - deliverable timelines, economics, scope, quality, and customer satisfaction
- Manage, mentor, and develop teams of data professionals
- Identify client business needs, deliver data-driven solutions, and lead workshops, trainings, and knowledge transfer
- Develop business cases and KPIs, and translate data findings into strategic insights and actionable recommendations
Benefits
- 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
- 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)
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
