Accenture | Jobs | ACN – Applied Intelligence – CS&S – LS Analytics – 09 | BigDataKB.com | 31-01-22

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    Job Location: Pune

    Products Analytics -Life Sciences Practice

    The Products Lifesciences Analytics team comprises professionals with diverse experience and backgrounds including statistics, engineering, economics and other quantitative disciplines. Employees are encouraged and expected to build their expertise as data scientists, and deploy analytics to business problems. We also provide access to an experienced group of professionals across disciplines, including Financial Services, Communication Media and Technology, Products -CPG/ Retail, Supply Chain & Operations. As a result, we are able to apply a multi-disciplinary approach to projects and formulate a more comprehensive and effective strategy.

    Analyst/Consultant

    Roles & Responsibilities
    The candidate will work closely with client facing teams and or clients directly and will be responsible for specific responsibilities in one or more of the following areas:

    Excellent understanding of Pharma data sets – commercial , clinical, RWE (Real World Evidence) & EMR ( Electronic medical records)
    Deliver data and BI/analytics driven engagements
    Leverage ones hands on experience of working across one or more of these areas such as real world evidence data , R&D clinical data , digital marketing data
    Analytics enablement (dash-boarding, tool development)
    Strong business acumen
    People management responsibilities
    Strong project management skills
    To actively engage in knowledge learning, sharing and storing. Steep learning curve and adapting to new client situations quickly and work under a competitive environment
    Excellent communication skills
    oAbility to summarize the essence in speech & in written communication
    Ability to influence and lead others
    Adhere to the firm s standards on ethics, code of conduct and values

    Qualifications

    Key Overall Skills:

    Should have business acumen, take initiative and be self-driven

    Strong conceptual knowledge on statistics

    Should have hands on experience in working on advance analytics projects involving statistical models like logistic regression, Cox proportional hazard model etc.

    Very good Microsoft Office (Excel and power point ) skills

    Need to have worked with life sciences data sets (R&D, Commercial ,real world)

    Experience in requirements gathering and design for BI/analytics

    Experienced in working with people from different geographies (e.g. USA, Europe etc.)

    Strong Client facing skills

    Able to build and own relationships

    Ability to drive small scale projects

    Creative problem solving skills

    Strong business and technical knowledge accountability

    Technical Skills

    8 Years of relevant experience

    Hands on experience working on any of the data querying language SQL.

    Hands on experience on any of the advanced analytics tools SAS/R/Python.

    Good Database knowledge

    Experience in using one of the visualization tools (tableau, spotfire, qlikview etc.)

    Educational Background

    Engineering from reputed college or equivalent with strong work experience in lifesciences and statistical analysis

    Master s degree in Business Administration from a reputed college or equivalent,

    Statistics / Operations research masters from reputed college or equivalent

    Apply Here

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