Job Description

responsibilities

• filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analysed to extract insights and improve business processes

• ensure that data flows smoothly from source to destination so that it can be processed

• using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.

• use data to create models that depict trends in the customer base and the consumer population as a whole

• creating graphs/ pie charts using data representation tool for easy understanding of data

• developing and maintaining databases

• work closely with top management to prioritize information and analytic needs

• collaborate with program managers and business analysts to help them come up with actionable, high-impact insights across product lines and functions

• build tools for automating repetitive tasks so that bandwidth can be freed for analytics

• assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time

• create segments of users to target them with customer engagement software

• follow up on performance insights on particular promotional activity on the app and help in forming future promotional activity on basis of it.

requirements

• proven problem solving and debugging skills

• well versed with descriptive and diagnostic style analysis

• familiarity with database technologies and tools (sql/r/sas/jmp etc.), data warehousing, transformation, and processing.

• proficiency in statistics and statistical packages like excel, spss, sas to be used for data set analysing.

• statistical knowledge in standard techniques: logistic regression, classification models, cluster analysis, neural networks, random forests, ensembles, etc.

• knowledge of data visualization software like tableau, qlik

• knowledge of app analytics like playstore console & fireba
  • Experience

    1 - 5 Years

  • No. of Openings

    1

  • Education

    Higher Secondary

  • Role

    Data Analyst

  • Industry Type

    Recruitment Consulting / Staffing Services

  • Gender

    [ Male / Female ]

  • Job Country

    India

  • Type of Job

    Full Time

  • Work Location Type

    Work from Office

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