Data Analyst
About Candidate
Introduction:
Experienced Data Analyst with 14 years of expertise in data reporting, analytics, and business insights. Skilled in tracking key performance indicators, campaign analysis, and customer behavior assessment to drive data-driven decisions. Proficient in SQL, Excel, and Looker for generating reports, forecasting trends, and optimizing marketing strategies. Adept at monitoring sales performance, evaluating marketing offers, and providing ad-hoc analysis to support strategic planning. Strong experience in developing and maintaining reporting tools for business stakeholders. Collaborates with cross-functional teams to enhance sales and marketing effectiveness through data insights. Successfully transitioned reporting processes from SAS to BigQuery for improved efficiency. Experienced in handling customer insights, competitive market analysis, and pricing strategy recommendations. Led data-driven projects to optimize direct selling channels and field campaign performance. Passionate about leveraging analytics to improve business outcomes and drive operational excellence.
Responsibilities:
- Monitoring and analyzing KPIs, including active client segmentation, turnover, and profitability.
- Developing and delivering commercial campaign analysis with performance optimization recommendations.
- Forecasting product demand, estimating marketing offer take rates, and tracking promotional impact.
- Conducting ad-hoc data analysis on customer behavior, sales performance, and market trends.
- Creating and maintaining automated reports for internal stakeholders, sales teams, and management.
- Managing marketing selections for SMS, mailing, and phone reactivation campaigns.
- Supporting pricing and strategic teams with competitor research and market segmentation insights.
- Coordinating with external research agencies and negotiating contracts for data collection.
- Providing analytical support to sales, finance, and marketing departments for data-driven decision-making.
- Leading data migration projects, transferring reporting processes from SAS to BigQuery.