Job Description

• Performs Data Exploration & Discovery using deep dive analysis and interprets the results to develop actionable insights. • Extraction, exploration, and manipulation of large and complex data sets. • Help internal stakeholders in understanding, interpreting and analyzing massive data sets • Come up with sensible analytical methodologies using a combination of descriptive and inferential statistical methods to perform exploratory data analysis. • Craft easy-to–consume narratives and actionable insights from complex concepts with advanced data visualization and presentation skills • Acts as analytics consultant to internal business users and serve as point person for questions related to data, measurement methodology and analytical techniques • Support internal stakeholders in using data and various analytical tools to generate and communicate insights
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Qualifications

Junior Level: • At least 1 year experience in customer analytics domain covering most of the following: data mining, data analytics, insighting, statistical analysis, large scale data acquisition, transformation, and cleaning, both structured and unstructured data. • Degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, Econometrics or Information Science such as Business Analytics or Informatics • Has knowledge of both structured and unstructured data • Must possess core competencies, understanding and relevant experience in: o Scripting or programming experience: familiarity in programming languages with relational databases o Data Analysis and Visualization tools: hands on experience with tools such as Tableau, Python, R, Spark and other analytical tools or software. Mid-Level: • At least 2-3 years of experience in customer analytics domain covering most of the following: data mining, data analytics, insighting, statistical analysis, large scale data acquisition, transformation, and cleaning, both structured and unstructured data • Degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, Econometrics or Information Science such as Business Analytics or Informatics • Familiar with most of the following disciplines: o Descriptive Statistics: being able to define the appropriate summary statistic to use in data profiling o Hypothesis Testing: being able to develop hypotheses and test them with careful experiments

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

COVID-19 update:  The safety and well-being of our candidates, our people and their families continues to be a top priority. Until travel restrictions change, interviews will continue to be conducted virtually. 

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