HamburgerMenu
iimjobs
Job Views:  
1151
Applications:  334
Recruiter Actions:  21

Posted in

Consulting

Job Code

1554622

Hiring: Data Analyst

Location: Noida

Work Mode: Work from Office

Working Days: 6 Days working, Sunday off

Employment Type: Full-Time (Office-Based)

About the Role

We are seeking a skilled Data Analyst to support our performance marketing and retention teams through data-driven insights and advanced analytics. This role requires a deep understanding of marketing performance, customer life cycles, and consumer behavior. The ideal candidate will bring expertise in analyzing large datasets, building predictive models, and collaborating cross-functionally to support marketing strategy.

Key Responsibilities

Data Analysis & Reporting:

- Analyze large datasets to derive actionable business insights.

- Develop and maintain dashboards and reports using tools like Tableau, Power BI, or Looker.

- Conduct A/B testing and statistical analysis to support data-driven decisions.

Campaign Performance Optimization:

- Evaluate the effectiveness of integrated marketing campaigns, including digital advertising, email marketing, content marketing, and product launches.

- Recommend data-driven optimizations to increase user acquisition, retention, and engagement.

Predictive Analytics & Forecasting:

- Build predictive models to forecast campaign performance and customer behavior.

- Develop marketing attribution models to analyze the impact of various channels on product sales and revenue generation.

Market Research & Competitive Analysis:

- Perform in-depth competitive analysis to identify market trends and opportunities.

- Conduct data-driven market research to understand customer preferences and competitive positioning.

Cross-Functional Collaboration:

- Work closely with product, marketing, and business intelligence teams to provide data-backed insights.

- Collaborate on go-to-market strategies, ensuring initiatives are supported by robust data analysis.

Required Qualifications

Education:

- Bachelor's or Master's degree in Data Analytics, Engineering, Computer Science, or a related field.

- Preferably from prestigious institutions such as IIT, NIT, or Tier 1 colleges.

Experience:

- 3+ years in a data analysis role, preferably within marketing or product marketing teams.

- Proven experience in working with cross-functional teams, including marketing, sales, product management, and engineering.

Technical Expertise:

- Proficiency in SQL, Python, or R for data extraction, transformation, and analysis.

- Experience with data visualization tools such as Tableau, Power BI, or Looker.

- Familiarity with CRM systems (e.g., Salesforce, HubSpot) and marketing automation platforms (e.g., Marketo, Pardot).

- Hands-on experience with digital marketing tools (e.g., Google Analytics, Google Ads, Facebook Ads) to track and optimize campaign performance.

Analytical & Problem-Solving Skills:

- Strong understanding of product marketing metrics, customer behavior analytics, and marketing ROI.

- Ability to create predictive models for forecasting campaign performance and customer lifetime value.

- Skilled in identifying actionable insights from complex datasets and presenting them clearly to non-technical stakeholders.

Market Research Skills:

- Ability to synthesize market research, customer feedback, and competitive analysis into meaningful data insights.

- Experience in using data to influence product strategy and positioning.

Preferred Skills

- Familiarity with machine learning techniques and tools for advanced data analysis.

- Experience working in fast-paced, data-driven environments (e.g., SaaS, e-commerce, or technology sectors).

- Strong communication skills with the ability to present findings clearly and persuasively at an executive level.

- A collaborative mindset, eager to work across teams and functions to drive marketing success.


Didn’t find the job appropriate? Report this Job

Job Views:  
1151
Applications:  334
Recruiter Actions:  21

Posted in

Consulting

Job Code

1554622

UPSKILL YOURSELF

My Learning Centre

Explore CoursesArrow