Data and Analytics Support Specialist

20-30 hours per week

On behalf of our Client, Mobilunity is looking for a Data & Analytics Support Specialist.

You will join a team supporting data-driven decision-making through accurate reporting, dashboards, data validation, and business analysis.

The role is focused on ensuring that business and project teams have reliable, understandable, and up-to-date data. You will work with reporting tools, databases, and analytical datasets, investigate data inconsistencies, support ad-hoc requests, and help stakeholders understand key business metrics.

This is a part-time opportunity of 20–30 hours per week, making it a good fit for a data professional who enjoys working with reporting, analytics, and data quality in a flexible environment.

What we’re looking for:

We need a data-oriented professional who is comfortable working with reports and datasets, validating information, investigating inconsistencies, and supporting business users with data-related requests.

The ideal candidate:

has a structured and analytical approach to working with data;

is attentive to data accuracy and consistency;

is comfortable working with SQL and reporting tools;

can independently investigate data issues and identify trends or anomalies;

understands KPIs and basic analytical concepts;

can communicate data findings clearly to non-technical stakeholders;

is comfortable handling both regular reporting and ad-hoc analytical requests.

Responsibilities:

Prepare and maintain regular reports and dashboards.

Extract data from databases and analytics systems.

Check data for accuracy, completeness, and inconsistencies.

Support ad-hoc data requests from business and project teams.

Create and update KPIs and analytical metrics.

Help users interpret reports and data.

Write basic SQL queries to retrieve and validate data.

Perform data cleansing and validation.

Maintain data definitions and documentation.

Check data pipelines and integrations.

Support data quality initiatives.

Maintain datasets used for reporting and analytics.

Identify trends, anomalies, and significant changes in business metrics.

Compare performance against KPIs.

Perform basic statistical analysis.

Investigate the reasons behind changes in business metrics.

Provide insights and recommendations based on data.

Requirements:

Commercial experience in Data Analytics, Data Reporting, Business Intelligence, or a similar role.

Good understanding of SQL and experience using SQL to retrieve and validate data.

Hands-on experience with AWS QuickSight.

Hands-on experience with AWS Athena.

Advanced Excel skills.

Experience creating and maintaining reports and dashboards.

Understanding of KPIs and analytical metrics.

Experience with data validation, cleansing, and quality checks.

Strong analytical and problem-solving skills.

Ability to identify trends, anomalies, and inconsistencies in data.

Good communication skills and ability to explain data to business users.

Experience working with PowerPoint for presenting data and insights.

Experience working with Jira or similar project management tools.

Good command of English.

Nice to have:

Experience working with data pipelines and integrations.

Experience with BI or data visualization tools other than AWS QuickSight.

Experience with data quality initiatives.

Experience working in a business or product environment.

Basic knowledge of statistics and data analysis.

Experience supporting cross-functional or international teams.