Data and Reporting Analyst at Anaplan

Job Description

What you will do:

1. Analyze large and complex datasets using statistical techniques, data mining, and data cleaning methods to identify trends, patterns, and correlations. Interpret and validate data to ensure accuracy and reliability of insights.

2. Develop and maintain reports, dashboards, and visualizations using reporting tools such as Tableau. Create standardized and ad hoc reports to support business operations, track key performance indicators (KPIs), and provide actionable insights to GTM Operations team.

3. Ensure data accuracy, consistency, and completeness by implementing data validation and cleansing procedures. Collaborate with cross-functional teams to resolve data quality issues and streamline data collection processes.

4. Collaborate with business stakeholders, including managers, analysts, and executives, to understand reporting requirements and data needs. Translate business requirements into data analysis and reporting solutions that meet stakeholders’ needs.

5. Develop and implement metrics and KPIs to track business performance and provide regular updates to stakeholders. Analyze performance data to identify areas of improvement and recommend actionable strategies.

6. Identify opportunities to improve data collection, analysis, and reporting processes. Streamline and automate data workflows, where possible, to enhance efficiency and reduce manual effort.

What you bring to the table:

1. Bachelor’s degree or higher in a quantitative field such as Mathematics, Statistics, Economics, Computer Science, Finance or a related discipline.

2. A minimum of 5 years of professional experience as a Data and Reporting Analyst, specifically with expertise in PowerPoint. Experience in data analysis, data visualization, and report development is essential.

3. Extensive experience in creating visually impactful and engaging presentations using PowerPoint. Advanced knowledge of PowerPoint features and functionality to enhance the overall presentation quality.

4. Data analysis skills: Strong analytical skills with the ability to collect, analyze, and interpret complex data sets. Proficiency in Excel or other data manipulation tools to clean, transform, and analyze data required, experience in R or Python a plus.

5. Demonstrated experience in creating effective data visualizations, such as charts, graphs, and tables, to present information in a clear and concise manner. Familiarity with data visualization tools, such as Tableau or Power BI, is a plus.

6. Excellent attention to detail to ensure accuracy and quality of data and presentations. Ability to review and validate data for completeness and correctness.

7. Excellent verbal and written communication skills to effectively convey complex information and insights to both technical and non-technical stakeholders. Ability to tailor presentations to different audience levels and objectives.

8. Preferably worked in a multinational company