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Data Analyst

Role overview

Qualifications

  • Bachelors degree in Data Science, Statistics, Mathematics, Engineering, or a related field
  • Proven experience as a Data Analyst, preferably in an engineering consulting or similar environment
  • Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages
  • Experience with data visualization tools (e.g., Tableau, Power BI, or similar)

Responsibilities

  • Gather, clean, and maintain datasets from various sources, ensuring data integrity and accuracy
  • Analyze large datasets to identify trends, patterns, and insights that support project management, operational efficiency, and strategic initiatives
  • Create comprehensive reports and dashboards using data visualization tools to present findings to stakeholders
  • Work closely with engineering teams, project managers, and other departments to understand their data needs and provide actionable insights

About the company

Nike logo

Nike

Retail – Supermarkets & Hypermarkets

NIKE, Inc. is a purpose-driven organization energized by a shared commitment to move the world forward through the power of sport. We champion diversity and amplify individual passions to bring inspiration and innovation to every athlete* in the world. Here, every teammate has a role to play. We work together, embracing our differences and pushing boundaries, to achieve collective success. For more information on how you can contribute to a world-class team, visit our career site at jobs.nike.com and join our talent community at https://jobs.nike.com/talent-login.

Company details

IndustryRetail – Supermarkets & Hypermarkets
Company size10001

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Job description

We are seeking a motivated and detail-oriented Data Analyst to join our team at Insolation Technology LTD, an established engineering consulting firm. The Data Analyst will be responsible for collecting, processing, and analyzing data to support project decisions, improve operational efficiency, and provide insights that drive strategic planning. The ideal candidate will have a strong analytical background, proficiency in data analysis tools, and excellent communication skills.

Note: This position is strictly open to candidates within the United States.

Key Responsibilities:

  • Data Collection and Management: Gather, clean, and maintain datasets from various sources, ensuring data integrity and accuracy.
  • Data Analysis: Analyze large datasets to identify trends, patterns, and insights that support project management, operational efficiency, and strategic initiatives.
  • Reporting and Visualization: Create comprehensive reports and dashboards using data visualization tools (e.g., Tableau, Power BI) to present findings to stakeholders.
  • Collaboration: Work closely with engineering teams, project managers, and other departments to understand their data needs and provide actionable insights.
  • Performance Metrics: Develop and track key performance indicators (KPIs) to measure project performance and operational efficiency.
  • Statistical Modeling: Apply statistical methods and predictive modeling techniques to analyze data and forecast future trends.
  • Continuous Improvement: Identify opportunities for process improvements and optimization based on data analysis and provide recommendations to management.
  • Documentation: Maintain detailed documentation of data sources, methodologies, and analytical processes for future reference.

Qualifications:

  • Bachelors degree in Data Science, Statistics, Mathematics, Engineering, or a related field.
  • Proven experience as a Data Analyst, preferably in an engineering consulting or similar environment.
  • Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages.
  • Experience with data visualization tools (e.g., Tableau, Power BI, or similar).
  • Strong analytical and problem-solving skills, with a keen attention to detail.
  • Excellent communication skills, both verbal and written, with the ability to present complex information clearly to non-technical stakeholders.
  • Familiarity with engineering concepts or terminology is a plus.

Preferred Qualifications:

  • Experience with statistical analysis and modeling techniques.
  • Knowledge of machine learning algorithms and data mining techniques.
  • Familiarity with project management methodologies and tools.
  • Experience working in a team-oriented, collaborative environment.

Benefits:

  • Competitive salary and performance-based bonuses
  • Comprehensive health, dental, and vision insurance
  • Retirement savings plan with company match
  • Professional development opportunities
  • Flexible work schedule and remote work options

Job Type:

  • Full time

Pay:

  • $21.00 - $26.00 per hour

Expected hours:

  • 40 hours per week

Benefits:

  • 401(k)
  • Dental insurance
  • Health Insurance
  • Life Insurance
  • Paid time off

Schedule:

  • Monday to Friday

Work location:

  • Remote

Insolation Technology LTD is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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