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Senior Football Data Analytics Jobs in Ohio (NOW HIRING)

Further

Data & Analytics Strategy

Cleveland, OH · Hybrid

This is a leadership role in the organization, and you would not only be a senior SME on client ... data ecosystems, with a track record of designing comprehensive analytics, measurement, and ...

Further

Data & Analytics Strategy

Cleveland, OH · On-site

This is a leadership role in the organization, and you would not only be a senior SME on client ... data ecosystems, with a track record of designing comprehensive analytics, measurement, and ...

Marsh Berry

Data Analytics & AI Manager

Woodmere, OH · On-site

We are seeking a Data Analytics & AI Manager to join our Beachwood, OH location. We have a people ... Develop intuitive, scalable dashboards and analytical tools that enable senior leaders and business ...

RAKS Group LLC

Senior Data Analyst

Columbus Grove, OH

$78K - $99K/yr

Senior Data Analyst Type: Contract / C2C (temporary) Senior Data Analyst. Our client has a contract ... The Data & Analytics team is seeking a resource that will be engaged in hands-on and in-person ...

US Bank

Data Analytics 5 - Operations

Cincinnati, OH · On-site

$82K - $104K/yr

We're seeking a Senior Data Analyst who loves working with data, asking the right questions, and turning ambiguity into clear, actionable solutions. If you're highly technical, curious by nature, and ...

DPDHL

Sr Business Data Analyst

Westerville, OH · On-site +1

$70K - $115K/yr

Are you ready to launch your analytics career in the fast-paced world of supply chain? At DHL Supply Chain, we're looking for a Senior Business Data Analyst who is eager to apply data-driven thinking ...

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Senior Football Data Analytics information

What is the difference between Senior Football Data Analytics vs Football Data Analyst?

AspectSenior Football Data AnalyticsFootball Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Sports Analytics, or related fields; experience preferredBachelor's degree in Data Science, Sports Management, or related fields; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within sports organizations or analytics firmsTypically focused on data collection, analysis, and reporting under supervision, often within sports teams or analytics companies
Employer & Industry UsageUsed by professional sports teams, analytics firms, and sports media companies for strategic decision-makingCommonly employed by sports teams, media outlets, and analytics agencies for performance analysis

In summary, Senior Football Data Analytics involves higher-level responsibilities, leadership, and strategic planning, requiring more experience and advanced skills compared to Football Data Analyst, which focuses on data processing and reporting at an entry or mid-level.

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Senior Football Data Analytics jobs near you

Senior Data Analytics & Insights Analyst

Goosehead

Westlake, OH

$79K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Job description

AboutGoosehead

GooseheadInsurance has been disrupting the insurance industry by giving clients the power of choice,utilizinga smarter marketing approach, and delivering world class service. This is all powered by our focus on hiring andretainingextraordinary people. Our clients trust us with their most valuablepossessionsso,we'remore than just a bit selective when it comes to hiring new team members.

Job Summary

The Senior Data Analytics and Insights Analyst will lead the development of cutting-edge data models, datasets, and dashboards while mentoring junior team members and driving best practices in data analytics and insights. The Senior Data Analytics and Insights Analyst will interact with other teams to form a data-driven culture leveraging metrics and KPIs and strategic analysis on company performance and trends. The role requires the following capabilities: excellent communication skills, especially the ability to respectfully challenge and influence; strong problem-solving/analytical skills, strong data management skills, and business acumen.

Key Responsibilities:

Strategic Data Analysis & Insights:

  • Lead the design, development, and optimization of complex data models, datasets and interactive dashboards using Tableau to guide strategic decision-making.

  • Perform in-depth analyses of large datasets to identify trends, opportunities, and actionable insights.

  • Develop and present key business insights to senior leadership in a clear, concise, and impactful manner.

  • Ensure all BI solutions align with organizational objectives and business goals.

Advanced Data Management & Optimization:

  • Write, optimize, and troubleshoot complex SQL queries to extract and manipulate data across multiple databases, with a primary focus on Snowflake.

  • Oversee the design, enhancement, and maintenance of data pipelines to ensure data accuracy, quality, and efficiency.

  • Serve as the subject matter expert for Snowflake, guiding the organization in leveraging it as the central data platform for advanced analytics.

Collaboration & Leadership:

  • Partner with business units and cross-functional teams to gather requirements and define KPIs, ensuring BI solutions address key business challenges.

  • Act as a trusted advisor to C-suite executives by providing data-driven insights and recommendations.

  • Mentor junior BI team members, fostering a culture of knowledge sharing and continuous improvement.

Skills & Qualifications:

  • Bachelor's degree in Data Analytics, Information Systems, Data Science, or a related field.

  • 5+ years of experience in a BI Analyst or similar role, working with large, complex datasets.

  • Advanced proficiency in SQL, Tableau, and data warehousing concepts, with hands-on experience using Snowflake/Databricks or other cloud-based platforms.

  • Strong background in Salesforce, Workday and Talent Acquisition reporting.

  • Demonstrated ability to communicate technical insights effectively to both technical and non-technical stakeholders, including C-suite executives.

  • Exceptional problem-solving skills and attention to detail.

Preferred:

  • Experience in the insurance industry or a similar data-driven environment.

  • Proficiency in scripting languages such as Python or R.

  • Expertise in data visualization storytelling and dashboard design best practices.

  • Demonstrated Tableau proficiency via Tableau Public portfolio.

Benefits Summary

  • High quality voluntary health, vision, disability, life, and dental insurance programs
  • 401K Matching Plan
  • Employee Stock Purchase Plan
  • Paid holidays, vacation, and sick leave
  • Corporate sponsored programs to enhance employee physical, financial,mentaland emotional wellness
  • Financial Solution Program

Equal Employment Opportunity:

Gooseheadis an equal opportunity employer andcomplies withall applicable federal, state, and local laws, rules, guidelines, and regulations.Gooseheadstrictly prohibits and does not tolerate unlawful discrimination against employees, applicants, or any other covered person because of race, color, religion, creed, national origin, ancestry, ethnicity, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity, transgender status, age, physical or mental disability, veteran status, uniformed service, genetic information, or any other characteristic protected by applicable law. All applicants for employment and allGooseheademployees are given equal consideration based solely on job-related factors, such as qualifications, experience, performance, and availability.

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