Senior Manager Data & Analytics

Harnham Inc.
Mundelein, IL, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$165,000 - $200,000
Working hours
Regular working hours

Tech stack

Data Analysis Data Transformation Power BI Tableau (Software) Sql Optimization Data Analytics Looker Analytics Data Pipelines

Job description

We are partnering with a data-driven consumer business seeking a Senior Manager, Data & Analytics to lead a multidisciplinary data team and act as a strategic partner to senior leadership., You will lead a small team spanning multiple data disciplines and serve as the primary point of contact for data and analytics across the business.

Requirements

This role would suit an experienced analytics leader who enjoys operating in a player-coach capacity, balancing strategic leadership with hands-on involvement where needed., Success in this position will come from the ability to combine strong leadership, commercial acumen, analytical thinking, and technical credibility., * 6+ years of experience in Analytics, Business Intelligence, Data Science, or related disciplines. \n

  • Previous people leadership experience, including team development and performance management. \n

  • Experience leading broad data functions rather than a single specialist discipline. \n

  • A proven track record of partnering with senior stakeholders and influencing decisions. \n

  • Experience working within fast-paced, data-rich business environments. \n, * Advanced SQL proficiency. \n

  • Strong experience with modern BI and visualisation platforms such as Looker, Omni, Tableau, Power BI, or similar., * Understanding of data pipelines, data transformation processes, reporting environments, and data quality principles.

Benefits & conditions

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  • Lead, mentor, and develop a multidisciplinary team covering analytics, business intelligence, reporting, and data management. \n

  • Establish clear ownership, priorities, and accountability across the team. \n

  • Foster a culture of continuous improvement, collaboration, and delivery excellence. \n

  • Act as a player-coach, providing guidance while remaining close enough to the work to unblock challenges and support key initiatives. \n

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Business Partnership

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  • Partner directly with senior business stakeholders to understand priorities and strategic objectives. \n

  • Translate business needs into actionable data and analytics initiatives. \n

  • Provide thought leadership and challenge assumptions through data-driven insights. \n

  • Influence decision-making through effective communication and storytelling. \n

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Analytics & Insights

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  • Drive analysis across customer, commercial, operational, and financial performance. \n

  • Identify opportunities, risks, trends, and areas for improvement. \n

  • Deliver meaningful recommendations that lead to measurable business outcomes. \n

  • Establish and evolve KPI frameworks that support organisational performance. \n

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Data & Reporting

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  • Oversee reporting, data quality, governance, and analytical processes. \n

  • Partner closely with technical teams to ensure scalable and sustainable data solutions. \n

  • Improve analytics capabilities, reporting structures, and business visibility into performance. \n

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Innovation & Emerging Technologies

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  • Support adoption of modern analytical approaches, including AI-enabled tooling and predictive analytics where appropriate. \n

  • Identify opportunities to improve efficiency, scalability, and decision-making through technology. \n

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