Data Analyst
About The Company The Battle of Giants is a forward-thinking organization dedicated to helping investors and corporate executives assess a company's growth potential and innovation capabilities. Our mission is rooted in providing comprehensive data-driven insights that enable organizations to design effective strategies for sustainable growth in a rapidly evolving and disruptive business environment. We leverage advanced data analysis, benchmarking, and strategic evaluation to diagnose current performance and forecast future opportunities. Our team is committed to fostering a culture of curi…
- On-site
- Posted Jul 12, 2026
- 1 position
Job summary
About The Company The Battle of Giants is a forward-thinking organization dedicated to helping investors and corporate executives assess a company's growth potential and innovation capabilities. Our mission is rooted in providing comprehensive data-driven insights that enable organizations to design effective strategies for sustainable growth in a rapidly evolving and disruptive business environment. We leverage advanced data analysis, benchmarking, and strategic evaluation to diagnose current performance and forecast future opportunities. Our team is committed to fostering a culture of curiosity, innovation, and continuous learning, ensuring our clients stay ahead of the competition. We believe that understanding how a company performs today is essential to shaping its tomorrow, and we are passionate about delivering actionable insights that drive strategic decision-making. About The Role As a Data Analyst at The Battle of Giants, you will play a pivotal role in analyzing and interpreting data related to various companies' growth initiatives. Your insights will help compare organizations against industry benchmarks, identify strategic opportunities, and understand the factors influencing future growth. This position requires a blend of analytical expertise and storytelling skills, as you will be responsible for performing detailed research, data cleaning, and crafting compelling narratives around your findings. You will work closely with a multidisciplinary team of data engineers, developers, and fellow analysts to transform raw data into meaningful insights. Your work will involve exploring data transformation techniques, enhancing feature engineering for machine learning models, and developing visualizations that clearly communicate complex information. The role demands a proactive mindset, critical thinking, and a willingness to challenge assumptions to uncover root causes and actionable solutions. Qualifications Bachelor's degree in Economics, Data Science, Business Analytics, or a related field Proven experience in data analysis, visualization, and reporting Strong knowledge of SQL and experience with data querying tools Proficiency in Python or R for data manipulation and analysis Experience with data visualization tools such as Tableau or similar platforms Understanding of corporate strategy, economics, and business performance metrics Excellent communication skills, with the ability to tell compelling stories through data Ability to work independently and collaboratively in a fast-paced environment Strong problem-solving skills and a curious mindset Experience with machine learning concepts and feature engineering is a plus Responsibilities Perform comprehensive data collection, cleaning, and preprocessing to ensure high-quality analysis Analyze company growth initiatives and benchmark performance against industry standards Develop and refine features for machine learning algorithms to improve predictive accuracy Create visualizations and dashboards that effectively communicate insights to stakeholders Research and identify root causes of business challenges and strategic opportunities Collaborate with cross-functional teams to transform data into actionable recommendations Contribute to the development of investigative stories that highlight key findings and implications Continuously learn new tools and techniques to enhance analytical capabilities Support the team in solving complex data problems and improving data transformation processes Benefits Supplemental health coverage to support your well-being Four weeks of paid time off to ensure work-life balance Unlimited sick days for health and recovery needs Flexible workstation and computer setup to suit your preferences Opportunity to dedicate time on Fridays for creative pursuits, volunteering, or community projects Collaborative and innovative work environment with growth opportunities Equal Opportunity We are an equal opportunity employer committed to fostering an inclusive environment for all employees. We celebrate diversity and are dedicated to providing equal employment opportunities regardless of race, gender, age, religion, sexual orientation, disability, or any other protected characteristic. We believe that diverse perspectives and experiences drive innovation and success, and we welcome applicants from all backgrounds to join our team.
What you’ll do
As a Data Analyst, you will analyze and interpret data related to company growth initiatives and benchmark performance against industry standards. You will collaborate with cross-functional teams to transform data into actionable recommendations and create visualizations that communicate insights effectively.
Requirements
Candidates should have a bachelor's degree in a relevant field and proven experience in data analysis, visualization, and reporting. Strong knowledge of SQL, proficiency in Python or R, and experience with data visualization tools are essential.
Benefits
• Supplemental Health Coverage • Paid Time Off • Unlimited Sick Days • Flexible Workstation • Creative Pursuits Time • Collaborative Work Environment
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Data Analysis
- Data Visualization
- SQL
- Python
- R
- Tableau
- Machine Learning
- Feature Engineering
- Communication
- Problem Solving
- Critical Thinking
- Data Cleaning
- Research
- Collaboration
- Storytelling
- Curiosity
Additional details
- Minimum education
- Bachelor’s degree
- Minimum experience
- 2+ years
