Marketing Data Analyst

THIS IS A 6 MONTHS CONTRACT POSITION WITH ONE OF THE LARGEST, GLOBAL, TECHNOLOGY LEADER. Hybrid in Bangalore.

Our large, Fortune client is ranked as one of the best companies to work with, in the world. The client fosters progressive culture, creativity, and a Flexible work environment. They use cutting-edge technologies to keep themselves ahead of the curve. Diversity in all aspects is respected. Integrity, experience, honesty, people, humanity, and passion for excellence are some other adjectives that define this global technology leader.

As the Data Analyst in APJ (APAC and Japan) Lifecycle Marketing team, you will be responsible to collate and analyse data, track and report performance, identify trends and patterns, develop insights and provide recommendations, with regional/country-level/campaign-level lens. You will have to collaborate widely, cross-teams and cross-functions, to put together a centralised view for the APJ team, towards the team’s KPIs around improving customer onboarding experience, product usage, renewal and revenue.

Skills:

• 5 to 7 years of overall experience with 4+ years of relevant experience in data analysis, preferably in SaaS, B2B Marketing analytics/business intelligence role.
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
• Solid understanding of marketing concepts, customer segmentation, and campaign performance measurement.
• Proven ability to work collaboratively in cross-functional teams.
• Good communication and presentation skills.
• Ability to work independently and remotely, and in a collaborative environment.

Responsibilities:

• Extract and transform data from diverse sources, to strengthen post purchase data landscape for this marketing team.
• Analyse data to identify volume, gaps, risks and growth opportunities, and provide actionable insights & solutions.
• Measure and report on the effectiveness of campaigns, to improve efficiency and revenue generation.
• Analyse customer journey, campaign performance and customer profile analytics, to identify trends and provide recommendations.
• Utilise customer feedback and operational measurements to identify areas of weakness and strength within the connected journeys.
• Create visually appealing reports, present and explain the analyses to team and stakeholders.
• Conduct exploratory research for hypothesis testing and statistical analysis.