Data Analyst

Job Description

As a Data Analyst, you will analyze and interpret data from various marketing channels to assess performance, identify trends, and develop actionable insights. You will create detailed reports and dashboards to track key performance indicators and segment audiences to tailor marketing strategies. Your role involves evaluating and optimizing campaign performance, designing testing strategies to enhance channel effectiveness, and providing business intelligence to support customer lifecycle management and Go-To-Market strategies. Additionally, you will collaborate with Sales, Marketing, and Strategy teams on various initiatives and deliver clear, data-driven recommendations to improve overall marketing efforts. Analyze Marketing Data & Support Campaign Targeting : Collect, interpret, and analyze data from various marketing channels to identify trends, patterns, and actionable insights. Support marketing teams by providing different lists with the right targeting criteria for campaigns (outbound, digital, and email marketing). Collaborate with Teams : Work closely with Sales, Marketing, Strategy, and Customer Success teams to understand data needs and provide analytical solutions. Campaign Evaluation & Optimization : Evaluate marketing campaign performance, design testing strategies, and provide recommendations to improve effectiveness. Data Quality Assurance : Perform data validation and cleanup to ensure accuracy and reliability of data for reporting and analysis. Build Predictive Models : Develop machine learning algorithms and models (e.g., propensity and value models) to optimize marketing efforts across different products and geographies. Ad-Hoc Analysis & Business Intelligence : Conduct ad-hoc analysis to solve business problems, monitor performance trends, and provide actionable insights to support business decisions. Integrate 3rd Party Data & Fuzzy Matching : Integrate data from external sources and apply fuzzy matching techniques to compare and merge data for a more comprehensive view of customers and prospects. Required Experience: 5 + years of experience in a similar role. Experience in SQL , and Python on a daily basis. Proven ability in data analytics , creating actionable insights, and working with cross functional teams Candidate worked on Marketing, Sales projects are preferred