Data Analyst

Incedo

$80K — $110K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7-9 years of relevant experience
  • Bachelor's/Master's degree in Computer Science or related field
  • Proficiency with Python, R, or SQL for data wrangling and cleaning
  • Knowledge of statistical analysis techniques like regression or hypothesis testing
  • Familiarity with data visualization tools such as Tableau or Power BI
  • Strong communication skills for explaining complex data to non-technical audiences
  • Ability to work under pressure while managing multiple priorities

Responsibilities

  • Analyze and interpret complex datasets using statistical tools
  • Develop and implement data-driven insights and solutions
  • Create and present reports and dashboards to stakeholders
  • Collaborate with teams to ensure data consistency and integrity
  • Guide and mentor junior data analysts

Benefits

  • Opportunity to work with cutting-edge data analysis tools
  • Collaborative environment with data analysts and scientists
  • Mentorship role for professional growth
  • Involvement in aligning data strategies with company vision
  • Dynamic work environment with exposure to diverse data challenges
Full Job Description
Role Description

Role Description:
As a Technical Lead - Data Analysis at Incedo, you will be responsible for analyzing and interpreting large and complex datasets to extract insights and identify patterns. You will work with data analysts and data scientists to understand business requirements and provide data-driven solutions. You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is accurate, efficient, and scalable.

Roles & Responsibilities:
• Analyzing and interpreting complex data sets using statistical and data analysis tools
• Developing and implementing data-driven insights and solutions
• Creating and presenting reports and dashboards to stakeholders
• Collaborating with other teams to ensure the consistency and integrity of data
• Providing guidance and mentorship to junior data analysts.

Technical Skills

Skills Requirements:
• Proficiency in data wrangling and data cleaning techniques using tools such as Python, R, or SQL.
• Knowledge of statistical analysis techniques such as hypothesis testing, regression analysis, or time-series analysis.
• Familiarity with data visualization and reporting tools such as Tableau, Power BI, or Looker.
• Understanding of data exploration and discovery techniques such as clustering, anomaly detection, or text analytics.
• Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner.
• Must understand the company's long-term vision and align with it.
• Should be open to new ideas and be willing to learn and develop new skills.
• Should also be able to work well under pressure and manage multiple tasks and priorities.

Nice-to-have skills

Qualifications

Qualifications
• 7-9 years of work experience in relevant field
• B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

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