1 Accenture Senior Data Engineering Analyst Job

Title: Sales Excellence COE - Data Engineering Senior Analyst

Role (Job Profile):Analytics and Modeling Senior Analyst

Management Level:Senior Analyst (ML10)

We Are:

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

You Are:

A builder at heart curious about new tools and their usefulness, eager to create prototypes, and adaptable to changing paths. You find satisfaction in making sense out of raw data.

The Work:

The Center of Excellence (COE) makes sure that the sales and pricing methods and offerings of Sales Excellence are effective. The COE supports salespeople through its business partners and Analytics and Sales Operations teams.

The Data Engineer helps manage data sources and environments, utilizing large data sets and maintaining their integrity to create models and apps that deliver insights to the organization.

You will:

Build and manage data models that bring together data from different sources.

Help consolidate and cleanse data for use by the modeling and development teams.

Structure data for use in analytics applications.

Understand SQL Server scripts/stored procedures and translate them to GCP Big Query, taking advantage of this cloud technology.

Qualifications

Heres what you need:

A Bachelors degree or equivalent

3 or more years of experience in similar Industry

A minimum of 2-year Advanced SQL knowledge and experience working with relational databases, particularly Microsoft SQL Server

A minimum of 1 year familiarity and hands-on experience with various SQL objects like stored procedures, functions, views, etc.

A minimum of 1 year experience building data flow components and processing systems to extract, transform, load, and integrate data from various sources

A minimum of 1-year hands-on experience in advanced Excel topics such as cube functions, VBA Automation, Power Pivot, etc.

Experience with data warehousing environments, including understanding of FACT and DIM tables, star and snowflake schemas.

Familiarity with partitioned tables, surrogate keys, store procedures and indexes.

Extra credit if you have:

Understanding of sales processes and systems.

Masters degree in a technical field.

Experience with Python and cloud technology, specifically Microsoft Azure and Google Cloud Platform.

Experience with quality assurance processes.

You May Also Need:

Ability to work flexible hours according to business needs.

Must have good internet connectivity and a distraction-free environment for working at home, in accordance with local guidelines.