Get a reply from this employer
Your resume and cover letter, tailored to exactly what they’re hiring for.
Private Advertiser is seeking a skilled and detail-oriented Data Analyst to transform complex data into actionable insights that support business decisions and improve operational performance.
You will work with large datasets from multiple sources, building dashboards in Power BI or Tableau, writing SQL queries, and collaborating with Operations, Finance, Sales, Marketing, and Management to translate requirements into analytic solutions and regular reports.
We are seeking a skilled and detail-oriented Data Analyst to transform complex data into meaningful insights that support business decisions and improve operational performance.
The ideal candidate has solid experience in data analysis, reporting, visualization, and data management. This role requires someone who can independently manage analytical tasks, identify trends and patterns, develop actionable recommendations, and communicate findings clearly to stakeholders.
The successful candidate should be comfortable working with large datasets, multiple data sources, and business intelligence tools while maintaining data accuracy and integrity.
Collect, clean, validate, and analyze data from multiple sources to ensure accuracy, consistency, and reliability.
Develop and maintain dashboards, reports, and data visualizations using Power BI, Tableau, or similar BI platforms.
Write and optimize SQL queries to extract, manipulate, and analyze data from databases.
Identify trends, patterns, anomalies, and business opportunities through quantitative analysis.
Translate business requirements into analytical solutions, reports, and actionable insights.
Monitor key performance indicators (KPIs) and provide regular reporting on business performance.
Automate recurring reports and data processes to improve efficiency and reduce manual work.
Collaborate with cross-functional teams, including Operations, Finance, Sales, Marketing, and Management.
Present analytical findings and recommendations to stakeholders in a clear and understandable manner.
Maintain documentation of data sources, analytical processes, reporting methodologies, and business metrics.
Ensure data confidentiality, integrity, and compliance with applicable data protection standards.
Support ad hoc analytical requests and business intelligence initiatives.
Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Information Technology, Business Analytics, or a related field.
3–5+ years of professional experience in data analysis, business intelligence, reporting, or a related analytical role.
Strong proficiency in SQL, including complex queries, joins, aggregations, and data manipulation.
Hands-on experience with data visualization and BI tools such as Power BI, Tableau, or Looker.
Advanced proficiency in Microsoft Excel, including PivotTables, lookup functions, and data analysis tools.
Experience working with large datasets and multiple data sources.
Strong analytical, problem-solving, and critical-thinking skills.
Ability to translate complex data into practical business insights and recommendations.
Excellent attention to detail and commitment to data accuracy.
Strong written and verbal communication skills.
Ability to work independently, manage priorities, and meet deadlines in a remote environment.
Experience with Python or R for data analysis, automation, or statistical modeling.
Familiarity with cloud-based data platforms such as BigQuery, Snowflake, Amazon Redshift, or Azure.
Knowledge of ETL processes, data pipelines, and data warehousing concepts.
Experience with statistical analysis, forecasting, or predictive analytics.
Familiarity with business performance metrics and KPI development.
Experience supporting international clients or working with cross-functional teams.
Exposure to data governance, data quality management, or business intelligence best practices.