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Data Analytics Specialist

Role overview

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • 6+ years of experience using statistical and programming languages such as Python, R, SQL, SAS, or Scala.
  • 6+ years of experience building analytical and quantitative models.
  • 6+ years of experience translating complex business problems into analytical solutions.

Responsibilities

  • Support the design, development, and delivery of analytical data products and services.
  • Leverage advanced analytics, statistical modeling, AI, and ML to transform complex data into actionable insights.
  • Collaborate with business stakeholders, data engineers, and cross-functional teams to develop data-driven solutions.

About the company

Workiy Inc. logo

Workiy Inc.

Information Technology & Services

Workiy provides digital solutions and staffing services, utilizing our patented delivery model and a unique and flexible, client-centric approach to tackling technology's biggest challenges. We don’t have “clients” we have partners! Our mission is to enable your talented teams and amazing systems to assist your business in optimally achieving its goals. The Workiy team, brings to the table, more than 20+ years of experience in the technology industry across many verticals in both the private and public sector.

Company details

Company typeSME
IndustryInformation Technology & Services
Company size11 - 50

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Job description

This is a remote position.

We are seeking an experienced Data Analytics Specialist / Data Scientist to support the design, development, and delivery of analytical data products and services. The successful candidate will leverage advanced analytics, statistical modeling, Artificial Intelligence (AI), and Machine Learning (ML) to transform complex data into actionable insights that drive business decisions. This role requires close collaboration with business stakeholders, data engineers, and cross-functional teams to develop innovative, data-driven solutions.​

Requirements

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • 6+ years of experience using statistical and programming languages such as Python, R, SQL, SAS, or Scala.
  • 6+ years of experience building analytical and quantitative models.
  • 6+ years of experience preparing data for predictive and prescriptive modeling.
  • 5+ years of experience translating complex business problems into analytical solutions.
  • 6+ years of experience with data analytics methodologies and statistical analysis.
  • 6+ years of experience applying statistical and data mining techniques.
  • 6+ years of experience with Artificial Intelligence (AI) and Machine Learning (ML).
  • Strong knowledge of:
  • Data Analytics
  • Data Science
  • Data Modeling
  • Statistical Analysis
  • Predictive & Prescriptive Analytics
  • Data Mining
  • Machine Learning
  • Artificial Intelligence
  • Experience with dashboarding and visualization tools such as Power BI or Tableau.
  • Excellent problem-solving, communication, and stakeholder management skills.


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MR

Marcus Rivera

Chief Revenue Officer

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