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Jobgether

Data Visualization Specialist (Part-Time)

Jobgether

Remote · Part Time

അപേക്ഷിക്കുന്ന ആദ്യയാളാകൂ

അനുഭവം
3–5 yrs
ശമ്പളം
ഓപ്പണിംഗുകൾ
1
പോസ്റ്റ് ചെയ്തു
1 മണിക്കൂർ മുമ്പ്
Work mode
വീട്ടിൽ നിന്ന് ജോലി ചെയ്യുക
വിദ്യാഭ്യാസം
Degree in Computer Science, Data Science, Statistics, or a related field preferred
Eligibility
<p>Applicants should be based in the United Kingdom and have 3 to 5 years of relevant experience. The role suits professionals who are comfortable working remotely, collaborating across international teams, and contributing to digital services that operate in multiple markets.</p>
Resume
Required to apply

ജോലി വിവരണം

Role overview

This part-time opportunity is for a Data Visualization Specialist based in the United Kingdom and offered through a hiring partner. Applications and all subsequent steps are handled by the partner company. The role combines data analysis, product thinking, and stakeholder communication in a globally distributed, mission-focused setting.

You will turn complex datasets into clear, decision-ready insights that support product development and commercial planning. A major part of the job is creating dashboards and analytical views that help leadership understand user behavior, product health, and growth opportunities. The position calls for both strong technical capability and the ability to present findings in a way that is easy to act on.

Accountabilities

  • Build clear, user-friendly dashboards and visual reports that highlight key performance indicators and trends, using tools like Google Data Studio or similar platforms.
  • Check data quality, investigate discrepancies, and fix issues in datasets or reporting workflows to keep outputs dependable.
  • Work with product leaders to create executive dashboards that inform roadmap choices and commercial strategy.
  • Analyze product performance across regions to surface patterns, trends, and practical recommendations.
  • Carry out funnel and churn analysis to understand user journeys, identify drop-off points, and suggest ways to improve engagement and retention.
  • Convert detailed analytical results into concise, story-led insights for leadership, partners, and other stakeholders.
  • Help define product metrics and support a consistent measurement approach across teams.

Requirements

  • At least 3 to 5 years of experience in data analysis, data visualization, or a similar analytical function.
  • Strong SQL skills for working with and shaping large datasets.
  • Practical experience using dashboarding tools such as Google Data Studio or comparable solutions.
  • Advanced-level Excel capability for analysis, reporting, and data modeling.
  • Strong analytical problem-solving skills, including the ability to troubleshoot data issues and explain technical matters clearly.
  • Comfort working independently while collaborating with remote, cross-functional, and globally distributed teams.
  • Exposure to data warehouse platforms such as BigQuery, Snowflake, or Redshift is advantageous.
  • A degree in Computer Science, Data Science, Statistics, or a related discipline is preferred.
  • Genuine interest in using data to improve digital services and user outcomes in diverse or emerging markets.

Benefits

  • Flexible part-time engagement at roughly 50% to 60% effort.
  • Fully remote working setup within a global team.
  • The chance to influence meaningful, large-scale digital services used across multiple countries.
  • Collaboration with international product and data teams in a purpose-driven environment.
  • Exposure to strategic decision-making that affects product growth and user experience.
  • Compensation that is competitive and aligned with experience and the scope of the role.

Application and data processing notes

This role is managed by a partner company, which reviews applications and handles the next steps, including interviews and assessments. The partner uses an AI-supported matching process to evaluate applications against the core job requirements before sharing a shortlist with the hiring company. Final hiring decisions are made by the hiring company’s internal team.

By applying, you acknowledge that your personal data may be processed to assess candidacy and shared with the hiring employer in line with applicable data protection laws, including GDPR. You may request access to, correction of, deletion of, or objection to the processing of your data at any time. AI tools may assist with parts of the recruitment process, such as application review, resume analysis, response assessment, and basic inconsistency or verification checks, but human judgment remains central to the final decision.

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