Provide insights relevant to specific tasks or projects, developing reports and dashboards focused on answering business questions or KPIs.
Analyze data to identify trends, patterns, and outliers, presenting findings clearly to stakeholders and team members.
Recommend initial actions or next steps based on analysis.

Dashboard And Report Maintenance

Maintain accuracy of assigned reports and dashboards, monitoring for data discrepancies or inconsistencies.
Analyze the root cause of identified data inaccuracies and coordinate with data engineers for correction.
Provide initial troubleshooting and support to users encountering issues with reports or dashboards.

Data Quality

Identify and flag data quality issues within your area of analysis, applying data quality checks to catch errors, inconsistencies, or missing values.
Document and report data quality issues to senior analysts or data quality specialists.
Follow established data governance procedures regarding data access and usage.

Data Modelling Support

Design and develop basic data models for well-defined analytics requirements, applying data normalization techniques.
Write DBT scripts to perform data transformations, including filtering, aggregation, and joining tables.
Collaborate with stakeholders to understand their data needs and identify potential model improvements.

Data Visualization

Create clear, well-designed visualizations for data analysis tasks, selecting appropriate chart types for the data and insights.
Apply dashboard design principles to organize multiple visualizations for effective storytelling.
Document data sources and steps used to create visualizations.

Data Security And Compliance

Adhere to established data security and compliance protocols while handling data.
Follow data access control procedures and complete required data security and compliance training.

Requirements

Must-have skills (required)

Good understanding of data analytics concepts, data visualization, and business intelligence tools.
Proficient in SQL for querying and extracting data from the data warehouse.
Advanced spreadsheet skills, including pivot tables, index-match, and macros or Google Apps Script.
Experience creating dashboards and reports using tools such as QuickSight or Tableau.
Understanding of data modelling principles, with experience writing DBT scripts for basic transformations.
Able to identify and flag data quality issues, applying data quality checks during analysis.
Strong communication skills, able to present findings clearly to stakeholders.

Academic and professional requirements

Bachelor's degree in a quantitative field, such as Statistics, Data Science, Business, or Economics, or equivalent practical experience.
2–4 years of experience in a data analysis role.

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