Remote Data Analyst

We are looking for a detail-oriented Data Analyst to join our data team. In this role, you will be responsible for managing and maintaining master data, developing meaningful reports and dashboards, supporting data quality and integrity initiatives, and troubleshooting data and reporting issues.

The ideal candidate has strong analytical skills, experience working with large and complex datasets, and a solid understanding of databases, reporting environments, and modern data analysis tools. You will work closely with business and technical stakeholders to translate requirements into reliable, actionable data solutions.

Key Responsibilities

Manage master data, including data creation, updates, maintenance, and deletion.

Manage users, permissions, and user roles within relevant data and reporting environments.

Perform quality assurance checks on imported and transformed data, collaborating with QA teams where required.

Manage the commissioning and decommissioning of datasets in accordance with established processes.

Process confidential and sensitive data in compliance with company policies, security standards, and applicable guidelines.

Develop, maintain, and enhance reports, dashboards, and data analyses to support business decision-making.

Design and manage reporting environments, including data sources, security, metadata, and access controls.

Partner with data warehouse and engineering teams to identify, define, and refine reporting requirements.

Support data integrity, standardization, normalization, and data quality initiatives.

Evaluate, test, and implement new or upgraded data, reporting, and analytics software.

Provide input into technology and system decisions by assessing business requirements and potential solutions.

Generate reports and analyses using data from single or multiple source systems.

Monitor and troubleshoot reporting databases, data pipelines, reports, and dashboards.

Assess the impact of changes to source and production systems on downstream reporting and analytics.

Work with stakeholders to identify data issues, investigate root causes, and implement sustainable solutions.

Train and support end users on new and existing reports, dashboards, and data tools.

Provide technical expertise in data structures, data mining, data cleansing, metadata, and database management.

Document data definitions, processes, reporting logic, and business requirements to improve transparency and maintainability.

Required Qualifications

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Statistics, or a related discipline.

Proven professional experience as a Data Analyst or in a closely related data-focused role.

Demonstrated experience working with large datasets and relational databases.

Strong understanding of database concepts, data structures, data quality, and data normalization.

Experience developing reports, dashboards, and analytical solutions using data from multiple sources.

Strong understanding of data management, metadata, and data governance principles.

Ability to assess business requirements, identify potential data or technology risks, and recommend appropriate solutions.

Ability to translate technical concepts and business requirements into clear, non-technical language for stakeholders.

Strong analytical and problem-solving skills, with exceptional attention to detail.

Experience troubleshooting data, reporting, and database issues.

Strong written and verbal communication skills.

Ability to work collaboratively with technical teams, business stakeholders, QA teams, and end users.

Preferred Qualifications

Experience with SQL and relational database technologies.

Experience with business intelligence and visualization tools such as Power BI, Tableau, or similar platforms.

Familiarity with data warehousing, ETL/ELT processes, and data integration.

Experience with data governance, master data management, and data quality frameworks.

Experience working with cloud-based data platforms and modern analytics environments.

Knowledge of data security, privacy, access controls, and handling confidential information.

Experience documenting data models, metadata, reporting requirements, and data lineage.