Analytics Manager

Xerxes Global•Bloomington, MN

13d

About The Position

Blue Ops specializes in strategic M&A advisory, analytics, and business transformation across private equity, investment banking, and portfolio companies. We partner with clients across multiple industries to drive growth, improve performance, and implement modern data solutions that support smarter decision-making. We are a fast-growing firm where everyone rolls up their sleeves. We value problem-solving, ownership, and a strong bias toward action. The Analytics Manager leads the delivery of analytics and business intelligence projects for clients, partnering closely with technology teams and business stakeholders. This role manages project teams, guides clients through analytics strategy, and ensures high-quality execution across engagements. This role requires adaptability, curiosity, and strong execution skills. Blue Ops values people who thrive in ambiguity, communicate clearly, and enjoy solving complex business problems.

Requirements

Exceptional verbal and written communication skills.
Strong analytical and problem-solving capabilities.
Ability to synthesize data into insights and hypotheses, not just reports.
Comfort managing multiple projects with varying scopes and deadlines.
Confidence working with stakeholders at all levels.
Experience managing project economics, deliverables, and quality.
A track record of coaching, mentoring, and developing team members.
The ability to adapt quickly and operate with a hands-on mindset.
Bachelor’s degree required.
5–8+ years of relevant experience in analytics, data, consulting, or similar fields.
Proficiency in cloud data platforms (Azure DataLake, AWS, Snowflake).
Expertise in BI/data visualization tools (Power BI, Tableau, Qlik).
Familiarity with Microsoft 365 and its integration with data ecosystems.
Strong SQL skills; experience with Python, R, or scripting languages for data manipulation.
Experience with ETL tools (Azure Data Factory, Talend, Informatica).
Understanding of data governance, security, and best practices.
Experience with data warehousing platforms (Snowflake, Redshift).
Demonstrated success consulting with clients to identify needs and deliver actionable solutions.
Skilled in leading workshops, trainings, and knowledge transfer.
Strong analytical skills with a focus on solving real business challenges.
Experience using Jira, Trello, or other project management tools.
Experience with Agile or hybrid delivery models.
Strong collaboration and relationship-building skills.
Ability to influence decision-makers and communicate complex insights simply.
Highly organized, detail-oriented, and committed to quality.
Thrives in a fast-paced, evolving environment.
Ability to develop business cases for data initiatives and communicate value to senior leadership.
Identify KPIs and metrics aligned with business goals.
Translate data findings into strategic insights and actionable recommendations.
Lead stakeholder discussions to define business processes and data flows.

Nice To Haves

Exposure to ML models, statistical analysis, or DevOps for ML/analytics pipelines.

Responsibilities

Collaborate with cross-functional teams to identify and address data needs across the organization.
Ensure availability, quality, and accessibility of data to support strategic decision-making.
Lead, mentor, and develop analysts and developers on best practices in analytics and BI.
Provide training on cloud-based data management and analytics tools.
Coach analysts on BI techniques, data modeling, and data storytelling.
Investigate client business problems through interviews and workshops.
Model solution options, evaluate trade-offs, and propose process improvements.
Partner with Change Management to support communication, adoption, and implementation of new processes.
Facilitate stakeholder alignment on data quality, metrics, and reporting needs.
Lead BI and analytics projects, managing timelines, deliverables, risks, and scope.
Oversee project plans, budgets, resourcing, and execution.
Partner with clients to define business requirements, KPIs, and success measures.
Communicate project status, risks, and challenges to stakeholders across all levels.
Build strong client relationships and provide thought leadership on data strategy.