Data Analyst - Bengaluru, India - Ecolab

    Ecolab
    Ecolab background
    Description

    JOB DESCRIPTION


    Required QualificationsA Bachelor's degree in Data Analysis, Math, Statistics, Computer Science or related field with an emphasis on analytics.3+ Years professional experience in a data scientist/analyst role or similar.

    Proven ability at design and building scalable, high-performance data visualization using PowerBI, D3JS, c3js, Angular, Tableau etc.

    preferably PowerBI.Proficiency in statistics/analytics preferably in the Microsoft Azure Suite, including Azure ML Studio, ADF, Data Lake, HDI and SQL.Python, ML libraries, Jupiter Notebook, Anaconda, ML concept, Power BIFamiliarity with significance testing, sampling, descriptive statistics, Bayesian models & multivariate statisticsPreferred QualificationsPrior experience with machine learning algorithms and their implementationsExperience with manipulating large data sets, working with parquet files.

    Deep Leaning, Computer Vision, NLP Concepts and frameworks.
    Docker/Kubernetes, Kubeflow, PySparkExposer to NOSQL concepts.

    Excellent communication, organizational transformation, and leadership skillsDemonstrated excellence in Data Science, Business Analytics and EngineeringPrimary Tools:

    • PendoTableau CRMHotjarLooker Studio

    Secondary Tools:

    • Google Tag ManagerGA4


    Our Commitment to Diversity and InclusionEcolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment.

    Our goal is to fully utilize minority, female, and disabled individuals at all levels of the workforce. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance.

    In all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement, Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin, citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.