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IBM Rcruitment 2023 for Data Analist Posts


Key Job Details

Country/Region : India
State : KARNATAKA
City : Bangalore
Category : Offering Management
Required Education : Bachelor's Degree
Position Type : Professional
Employment Type : Full-Time
Contract Type : Regular
Company : (0063) IBM India Private Limited
Req ID : 632682BR

Your Role and Responsibilities

We are seeking a data analyst to join the Integration Product Management team. The successful candidate will work closely with our Integration product and growth teams to analyze data, identify trends, and develop insights that will help us drive growth through product-led strategies. This role requires a passion to understand product-led growth principles and experience analyzing large data sets.

Key Responsibilities:

  • Analyze data from various sources, including product usage data, website analytics, and customer feedback, to identify insights, trends and opportunities for growth.
  • Develop and maintain dashboards and reports to track key metrics related to product-led growth, such as user acquisition, activation, retention, and monetization.
  • Collaborate with cross-functional teams, including product managers, designers, engineers, marketers, and sales to define and measure the impact of product-led growth initiatives.
  • Conduct A/B tests and experiments to validate hypotheses and identify opportunities to improve product-led growth metrics.
  • Build predictive models and conduct cohort analysis to forecast user behavior and inform product development decisions.
  • Stay up-to-date with the latest trends and best practices in product-led growth and data analytics.


Required Technical and Professional Expertise

Requirements:

  • Bachelor’s degree in mathematics, statistics, economics, computer science, or a related field.
  • 2+ years of experience in data analysis, preferably in a product-led growth or SaaS environment.
  • Knowledge of DB2 / SQL / Python and experience working with large datasets.
  • Proficiency in data visualization tools.
  • Familiarity with statistical analysis and machine learning techniques.
  • Excellent communication skills and ability to collaborate effectively with cross-functional teams.
  • Strong attention to detail and ability to work independently in a fast-paced environment.
  • Experience with tools such as Amplitude and Segment preferred.

Preferred Technical and Professional Expertise

  • Bachelor’s degree in mathematics, statistics, economics, computer science, or a related field.
  • 1+ years of experience in data analysis, preferably in a product-led growth or SaaS environment.
  • Experience working with large datasets.
  • Knowledge in data visualization tools.
  • Familiarity with statistical analysis and machine learning techniques.
  • Good communication skills and ability to collaborate effectively with cross-functional teams.
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