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Sales Ex - COE - Client Success - Data Engineering Specialist

4-9 years

Mumbai

Sales Ex - COE - Client Success - Data Engineering Specialist

Accenture

posted 2d ago

Job Role Insights

Job Description




Job Title - Sales Excellence -Client Success - Data Engineering Specialist - CF



Management Level :ML9



Location:Open



Must have skills:GCP, SQL, Data Engineering, Python




Good to have skills:managing ETL pipelines.




Job


Summary:



We are:

Sales Excellence. Sales Excellence at Accenture empowers our people to compete, win and grow. We provide everything they need to grow their client portfolios, optimize their deals and enable their sales talent, all driven by sales intelligence.

The team will be aligned to the Client Success, which is a new function to support Accenture's approach to putting client value and client experience at the heart of everything we do to foster client love. Our ambition is that every client loves working with Accenture and believes we're the ideal partner to help them create and realize their vision for the future – beyond their expectations.



You are:

A builder at heart – curious about new tools and their usefulness, eager to create prototypes, and adaptable to changing paths. You enjoy sharing your experiments with a small team and are responsive to the needs of your clients.



The work:

The Center of Excellence (COE) enables Sales Excellence to deliver best-in-class service offerings to Accenture leaders, practitioners, and sales teams.

As a member of the COE Analytics Tools & Reporting team, you will help in building and enhancing data foundation for reporting tools and Analytics tool to provide insights on underlying trends and key drivers of the business.



Roles & Responsibilities:
  • Collaborate with the Client Success, Analytics COE, CIO Engineering/DevOps team, and stakeholders to build and enhance Client success data lake.

  • Write complex SQL scripts to transform data for the creation of dashboards or reports and validate the accuracy and completeness of the data.

  • Build automated solutions to support any business operation or data transfer.

  • Document and build efficient data model for reporting and analytics use case.

  • Assure the Data Lake data accuracy, consistency, and timeliness while ensuring user acceptance and satisfaction.

  • Work with the Client Success, Sales Excellence COE members, CIO Engineering/DevOps team and Analytics Leads to standardize Data in data lake.




  • Professional & Technical Skills:
  • Bachelor's degree or equivalent experience in Data Engineering, analytics, or similar field.

  • At least 4 years of professional experience in developing and managing ETL pipelines.

  • A minimum of 2 years of GCP experience.

  • Ability to write complex SQL and prepare data for dashboarding.

  • Experience in managing and documenting data models.

  • Understanding of Data governance and policies.

  • Proficiency in Python and SQL scripting language.

  • Ability to translate business requirements into technical specification for engineering team.

  • Curiosity, creativity, a collaborative attitude, and attention to detail.

  • Ability to explain technical information to technical as well as non-technical users.

  • Ability to work remotely with minimal supervision in a global environment.

  • Proficiency with Microsoft office tools.




  • Additional Information:

  • Master's degree in analytics or similar field.

  • Data visualization or reporting using text data as well as sales, pricing, and finance data.

  • Ability to prioritize workload and manage downstream stakeholders.

  • About Our Company | Accenture


    Qualifications




    Experience:Minimum



    5+ year(s) of experience is required




    Educational Qualification:
    Bachelor’s degree or equivalent experience in Data Engineering, analytics, or similar field

  • Employment Type: Full Time, Permanent

    Read full job description

    Prepare for Data Engineering Specialist roles with real interview advice

    What people at Accenture are saying

    3.8
     Rating based on 45 Data Engineering Specialist reviews

    Likes

    Innovative work. A unique, diverse workplace environment. Continuous learning and development opportunities

    • Salary - Excellent
    • +6 more
    Dislikes

    Lack of clear communication made it difficult to understand project requirements.

    Read 45 Data Engineering Specialist reviews

    Data Engineering Specialist salary at Accenture

    reported by 819 employees with 5-13 years exp.
    Lock Unlock
    ₹11 L/yr - ₹28 L/yr
    6% less than the average Data Engineering Specialist Salary in India
    View more details

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