Analytics Manager – Senior Manager

Xerxes Global

Analytics Manager at Blue Ops managing client engagements and mentoring teams in analytics. Delivering insights based on data analysis and collaborating with diverse teams in a dynamic environment.

Posted 7/8/2026full-timeChicago • Illinois • 🇺🇸 United StatesSenior💰 $108,675 - $190,000 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureCloudETLInformaticaPythonSQLTableau

About the role

Key responsibilities & impact

Own client engagements end-to-end, including delivering reports and insights based on data analysis
Build and develop teams, guiding and mentoring team members
Work alongside high-caliber peers to enhance analytical capabilities
Manage multiple analytics projects with diverse scopes and complexities
Serve as a key communicator for insights to clients and stakeholders
Adapt and problem-solve in a dynamic working environment
Collaborate with various teams, including IT and management, to ensure quality outcomes

Requirements

What you’ll need

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%
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

Benefits

Comp & perks

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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Hard Skills & Tools

SQLPythonRETL ToolsData GovernanceData WarehousingAgile MethodologiesData ManipulationStatistical ModelingMachine Learning Algorithms

Soft Skills

Communication SkillsInterpersonal SkillsAttention to DetailProblem-SolvingAdaptability