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Data Analyst/Specialist

Remote: 
Full Remote
Contract: 
Salary: 
38 - 48K yearly
Work from: 

Offer summary

Qualifications:

Degree in Computer Science, Statistics, Mathematics or Economics, Experience with large datasets and databases, Knowledge in machine learning algorithms and techniques, Proficient with Excel sheets, Google sheets, and data analytics.

Key responsabilities:

  • Analyze and interpret trends in complex data sets
  • Develop and implement databases and data collection systems
  • Create reports and visualizations of data-driven insights
  • Perform data profiling to identify anomalies
Capio Group logo
Capio Group Information Technology & Services TPE https://capiogroup.com/
11 - 50 Employees
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Job description

Capio Group is looking for a Data Analyst/Specialist!

Full-time employee - Remote
Hourly - $20 - $25/hr

About Us:

Since 2010, we have been working with some of the largest government agencies in California, helping them to solve their greatest challenges. We are a small firm dedicated to big ideas and enjoy the rewards that come from hard work and commitment to our client base. We offer the salary and benefits of the bigger companies with the added bonus of a flexible workplace and a great work-life balance.

Scope of Work:
Capio Group is looking for a Data Analyst/Specialist to work alongside our Business Development team to collect, process, and perform statistical analyses. Data Analyst is expected to use their skills in mathematics, statistics, and programming to gather, analyze, and interpret large datasets to help the organization make data-driven decisions. This position requires a comprehensive understanding of data analysis principles, technical proficiency, and effective communication skills. As a Data Analyst/specialist, you’ll have the opportunity to interact with professionals from various backgrounds and contribute to real-world projects. The work environment emphasizes creativity, innovation, and continuous improvement.

The Data Analyst/Specialist will be responsible for tasks including but not limited to:

  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Create weekly and monthly reports delivered via google spreadsheets.
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
  • Perform data profiling to identify and understand anomalies.
  • Assist in the development of algorithms and models to use in data analysis.
  • Develop reports and visualizations to effectively communicate data-driven insights to the teams in the organization.
  • Filter and “clean” data by reviewing reports and performance indicators to locate and correct code problems.
  • Capture opportunity data for all sources (leads, master contracts, publicly available, etc.)
Mandatory Experience:
  1. Must have experience working with large datasets and databases.
  2. Must have previous experience obtained through work, school work or internship.
  3. Must have knowledge in machine learning algorithms and techniques.
  4. Must have experience with Excel sheets, Google sheets, Data analytics, & AI.
  5. Must possess a degree in Computer Science, Statistics, Mathematics, Economics, or related field.
  6. Must be familiar with data visualization tools like Tableau, Microsoft Power BI etc.
  7. Must be familiar with data manipulation libraries
Desirable Experience:
  1. Ability to interpret and communicate technical concepts to non-technical stakeholders.
  2. Ability to work independently and in a team environment.
  3. Familiarity with current Data related technologies.
     
Equal Opportunity Employer:
 
At Capio Group, our employees are our greatest asset and diversity, equity, and inclusion are at the core of who we are. Our commitment to these values is unyielding and is central to our mission and to our impact. We know that having diverse perspectives helps to generate better ideas to solve the complex problems of our diverse clients and the communities they serve.

Required profile

Experience

Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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