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Xerxes Global

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

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong analytical capabilities and problem-solving skills, with proficiency in data visualization and cloud-based data platforms. Effectively communicates insights to diverse stakeholders while managing multiple analytics projects and mentoring teams.

Highest-signal resume keywords
Data AnalysisTeam ManagementData VisualizationCloud-Based Data PlatformsProject Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLPythonRETL ToolsData GovernanceData WarehousingAgile MethodologiesData ManipulationStatistical ModelingMachine Learning Algorithms
Soft Skills
Communication SkillsInterpersonal SkillsAttention to DetailProblem-SolvingAdaptability
Tools & Technologies
Power BITableauQlikAzure DataLakeAWSSnowflakeAzure Data FactoryInformaticaTalendM365 Applications
Industry Keywords
ConsultingData-Driven SolutionsClient EngagementBusiness NeedsKPI Development

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