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Data Consultant

Pay
Pay not listed
Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting
Employment
Not stated

What you’ll work on

Full posting
  • Turn business challenges into tailored data solutions with stakeholders

  • Define performance metrics and track progress toward measurable outcomes

  • Lead consulting engagements and support presales with analytics expertise

  • Oversee and prioritize the product backlog against strategic objectives

  • Evaluate data quality and identify governance and process improvements

From the employer’s posting
Collaborate with stakeholders to identify business challenges and create tailored data solutions
Define performance metrics, establish desired outcomes, and track progress to ensure measurable success
Lead consulting engagements and contribute to presales activities by showcasing expertise in analytics
Oversee and prioritize the product backlog to ensure alignment with strategic objectives and customer requirements
Evaluate data quality and availability, and identify areas for improvement in governance and processes

What you’ll bring

All qualifications

Core experience

  • 5+ years in data software engineering
  • At least 1 year in data analytics consulting or data product management roles
  • 1+ years of relevant leadership experience
  • Proficiency in SQL and Python with strong coding skills
  • Fluent English at B2 level or higher
Qualification wording
5+ years of experience in Data Software Engineering
Minimum 1 year of experience in roles such as Data Analytics Consultant, Data Product Manager, or similar positions in consulting
1+ years of relevant leadership experience
Proficiency in SQL and Python with strong coding capabilities in both
Fluency in English, both written and spoken, at a B2 level or higher

Tools in this posting

  • Python
  • SQL
  • AWS
  • Azure
  • GCP
  • Hadoop
  • Kafka
  • Looker
  • Power BI
  • Spark
  • Tableau
Source — Tool mentions in context
We are seeking a seasoned Data Consultant to join our team and deliver impactful solutions by aligning business objectives with data-driven strategies. In this role, you will empower organizations to harness the value of their data, uncover actionable insights, and achieve measurable outcomes. This opportunity allows you to work on cutting-edge projects while leveraging advanced technologies in the data analytics space. Responsibilities Collaborate with stakeholders to identify business challenges and create tailored data solutions that align with organizational goals Define performance metrics, establish desired outcomes, and track progress to ensure measurable success Partner closely with Solution Architects and Data Engineers to design and execute scalable, high-performing data strategies Lead consulting engagements and contribute to presales activities by showcasing expertise in analytics and understanding client needs Oversee and prioritize the product backlog to ensure alignment with strategic objectives and customer requirements Evaluate data quality and availability, and identify areas for improvement in governance and processes Stay informed about the latest trends and advancements in data analytics, and integrate them into ongoing initiatives Assist with data integration, processing, and preparation efforts to ensure clean, reliable data for decision-making Communicate findings and strategies effectively to both technical and non-technical audiences, and ensure alignment among stakeholders Requirements 5+ years of experience in Data Software Engineering Minimum 1 year of experience in roles such as Data Analytics Consultant, Data Product Manager, or similar positions in consulting 1+ years of relevant leadership experience Track record of contributing to at least two full project life cycles or working across multiple phases of various projects Expertise in data platforms with a proven track record of delivering solutions like data lakes, analytics systems, and reporting tools Proficiency in SQL and Python with strong coding capabilities in both Familiarity with cloud platforms such as AWS, Azure, or GCP and their associated data services Knowledge of data architecture, lifecycle management, and data product design principles Demonstrated leadership and project management experience in data-driven initiatives Strong analytical abilities to simplify complex challenges and deliver actionable insights Excellent organizational skills and the ability to manage multiple priorities and projects simultaneously Fluency in English, both written and spoken, at a B2 level or higher Nice to have Familiarity with data visualization tools such as Tableau, Power BI, or Looker Certifications in cloud platforms like AWS, Azure, or GCP Hands-on experience with big data technologies such as Hadoop, Spark, or Kafka Knowledge of AI/ML technologies and predictive analytics solutions Understanding of Agile or Scrum methodologies for effective project management Capability to lead client-facing workshops, deliver presentations, and conduct training sessions

Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 1, 20262 days ago
Recorded sightings
4
Last seen by us
Nov 4, 2026
Employer says posted
Sep 29, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

We are seeking a seasoned Data Consultant to join our team and deliver impactful solutions by aligning business objectives with data-driven strategies. In this role, you will empower organizations to harness the value of their data, uncover actionable insights, and achieve measurable outcomes. This opportunity allows you to work on cutting-edge projects while leveraging advanced technologies in the data analytics space. Responsibilities Collaborate with stakeholders to identify business challenges and create tailored data solutions that align with organizational goals Define performance metrics, establish desired outcomes, and track progress to ensure measurable success Partner closely with Solution Architects and Data Engineers to design and execute scalable, high-performing data strategies Lead consulting engagements and contribute to presales activities by showcasing expertise in analytics and understanding client needs Oversee and prioritize the product backlog to ensure alignment with strategic objectives and customer requirements Evaluate data quality and availability, and identify areas for improvement in governance and processes Stay informed about the latest trends and advancements in data analytics, and integrate them into ongoing initiatives Assist with data integration, processing, and preparation efforts to ensure clean, reliable data for decision-making Communicate findings and strategies effectively to both technical and non-technical audiences, and ensure alignment among stakeholders Requirements 5+ years of experience in Data Software Engineering Minimum 1 year of experience in roles such as Data Analytics Consultant, Data Product Manager, or similar positions in consulting 1+ years of relevant leadership experience Track record of contributing to at least two full project life cycles or working across multiple phases of various projects Expertise in data platforms with a proven track record of delivering solutions like data lakes, analytics systems, and reporting tools Proficiency in SQL and Python with strong coding capabilities in both Familiarity with cloud platforms such as AWS, Azure, or GCP and their associated data services Knowledge of data architecture, lifecycle management, and data product design principles Demonstrated leadership and project management experience in data-driven initiatives Strong analytical abilities to simplify complex challenges and deliver actionable insights Excellent organizational skills and the ability to manage multiple priorities and projects simultaneously Fluency in English, both written and spoken, at a B2 level or higher Nice to have Familiarity with data visualization tools such as Tableau, Power BI, or Looker Certifications in cloud platforms like AWS, Azure, or GCP Hands-on experience with big data technologies such as Hadoop, Spark, or Kafka Knowledge of AI/ML technologies and predictive analytics solutions Understanding of Agile or Scrum methodologies for effective project management Capability to lead client-facing workshops, deliver presentations, and conduct training sessions
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