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Careers at Boddle
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Data Analyst

6 May 2025
Tulsa, OK, USA
Verified by Turrior

Content + Source + Freshness • 14 Feb 2026 • 95% confidence

78 / 100

Offer value

Moderate value with opportunities for data-driven decision making, though limited due to the specific niche and tools used.

  • Engagement with cross-functional teams
  • Ability to influence important decisions
  • Work in a remote setting
Pros
  • Contributes to impactful business decisions
  • Diverse projects with different teams
  • Flexibility in working remotely
Cons
  • Limited visibility on salary and benefits
  • Specific data tools may require learning curve
  • Potential for high data workload

Who it's for

Mid-level • Remote

Good fit
  • Mid-level data analysts
  • Professionals interested in educational technology
  • Data enthusiasts wanting collaborative work
Not recommended for
  • Entry-level data workers
  • Individuals turned off by high data volumes
  • Those preferring isolated work

Motivation fit

Eagerness to draw actionable insights from dataDesire to work collaboratively across teamsInterest in using data to influence educational outcomes

Key skills

Data analysis and interpretationReport creation and visualizationCollaboration with cross-functional teamsStatistical knowledge
Score: 78/100 AI verified analysis

About the job

Boddle Learning is on the lookout for a detail-oriented Data Analyst to collect, process, and analyze data across various teams to help drive business decisions. The ideal candidate will have strong analytical skills, experience with data visualization tools, and the ability to turn complex data into actionable insights.

Responsibilities:

  • Collect, clean, and interpret data from various sources.
  • Develop reports and dashboards to visualize key business metrics.
  • Identify trends, patterns, and insights to support business decision-making.
  • Work closely with cross-functional teams (marketing, product, finance, etc.) to understand data needs and provide insights.
  • Use statistical techniques to analyze data and improve business processes.
  • Ensure data accuracy and integrity by implementing data quality checks.
  • Create and maintain documentation of data processes and insights.
  • Stay updated with industry trends and best practices in data analysis.
  • Systematize measurement of data across organization to drive user acquisition and retention growth

Required Qualifications:

  • Bachelor’s degree in Computer Science, Software Engineering, Statistics, Mathematics, Economics, or a related field
  • Proficiency in SQL, Excel, and Tableau
  • Strong problem-solving skills and attention to detail
  • Excellent communication and data storytelling abilities
  • Ability to work independently and collaboratively in a fast-paced environment

Preferred Qualifications:

  • Experience with statistical programming languages (Python, R)
  • 2+ years of experience in data analysis, business intelligence, or a related role.
  • Familiarity with machine learning concepts and predictive analytics● Knowledge of cloud-based data platforms (e.g., AWS, Google BigQuery, Snowflake).

Why Boddle?

At Boddle Learning, we are passionate about creating engaging and educational gaming experiences. As a Data Analyst, you will be at the forefront of helping our teams make data informed decisions that drive company growth and impact millions of kids. Join us in our mission to make learning fun and impactful!

Application Process:

To apply, please submit your resume to edna@boddlelearning.com.

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End-to-end AI hiring for modern HR teams

Turrior uses artificial intelligence to create job listings, automate candidate screening, conduct video interviews, and apply comprehensive AI scoring — helping companies hire faster, more accurately, and with lower operational costs.

Key benefits:

  • AI-powered job creation and structured job data
  • Intelligent candidate screening and automated shortlisting
  • Video interviews with AI-based answer analysis
  • Comprehensive AI scoring of skills, experience, and role fit
  • Recruitment process automation and reduced time-to-hire

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