Data Analyst

Accenture is a leading global professional services company. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.

As a team:

The Data and AI revolution is changing everything. It’s everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities, client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance.

Accenture’s Data Engineering practice covers the range of Data and AI skills across all domains of data governance & quality, cloud & traditional data engineering and visual insights & next generation user interfaces. When combined with Accenture’s broader Strategy and Consulting and Technology businesses, we are able to bring together the unique end to end business changes through the application of Data and AI.

You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundary less opportunities that can drive your career in new and exciting ways. We have access to world leading assets, training and experts to help your career thrive and grow.

We are looking for Data Analysts to support clients across a range of industries.

In this role you will have:

• You will be working on client projects with teams from across our Applied Intelligence practice as well as industry, functional, and technology SMEs on some of our clients most challenging projects

• Work across different squads to define new measurement requirements

• Deploy tags to collect relevant behavioural data across web and app properties

• Develop and maintain reports and performance dashboards

• Share and present data-driven insights and recommendations

• Provide support to squad members and grow your analytical skill set

• Identifying data sources

• Developing, implementing and maintaining databases

• Assessing quality of data and removing or cleaning data

• Generating information and insights from data sets and identifying trends and patterns

• Preparing reports for executive and project teams

• Creating visualisations of data

• Have broad opportunities to be involved in all aspects of data engineering from delivery planning, estimating and analysis and develop your career all the way through to data architecture and pipeline design, delivery and production implementation

We are looking for experience a number in the following skills:

• 3+ years experience in data analytics, business analysis or software development in a customer or business facing capacity

• Ability to understand and articulate requirements to technical and non-technical audiences

• Stakeholder management and communication skills, including prioritizing, problem solving and interpersonal relationship building

• Strong experience in SDLC delivery, including waterfall, hybrid and Agile methodologies.

• Experience delivering in an agile environment,

• Strong SQL/Python knowledge

• Exceptional interpersonal skills to build relationships with key stakeholders

• Excellent verbal, written and data visualisation skills

• A self-starter with experience working in an Agile environment

• Strong time-management skills and ability to prioritise

• Understanding of website scripts such as XML, Javascript, JSON.

• Understanding of ETL framework and ETL tools that may include Alteryx and Microsoft SSIS.

• Digital marketing analytics tools including Google 360, Google Analytics, Google Tag Manager and Adobe Marketing Suite.

• Excellent analytical skills - the ability to identify trends, patterns and insights from data.

• Strong attention to detail.

• Good understanding of data modelling, data structures, databases, and ETL processes

• An in-depth understanding of large-scale data sets, including both structured and unstructured data

• Strong mathematical & numeracy skills.

• Intermediate understanding of databases such as SQL Server, Oracle and SAP.

• Understanding of reporting & data visualisation tools such as Business Objects, PowerBI and Tableau.

• Relevant tertiary qualification (e.g. marketing, statistics or engineering) or related experience

Bonus to have

• ETL development experience with tools such as Informatica, DataStage, Talend, Ab Initio, etc.

Set yourself apart:

• Demonstrating your learning abilities and passion to continue to learn and grow – we believe in #LetThereBeChange and look to you to be on that journey

• Ability to problem solve and network to discover the right solutions in creative ways

• Ability to manage stakeholders, through active partaking

• Experience working on multi-discipline software projects & ideally large-scale

• Track record of delivering robust, automated data solutions at scale

• Experience in complex data engineering projects / engagements

Equal Employment Opportunity Statement

At Accenture, our philosophy is anchored in recognising that our people are multi-dimensional. We take an intersectional human approach to create a work environment where all people feel like they can bring their authentic selves to work, every day.

We believe that equality drives innovation. Our commitment to accelerating equality starts at the top with our board and CEO and extends across every part of the company. This comes to life when our people own the equality agenda, making it part of their jobs – every decision, every day – and feel free to speak up and to act.

We do not tolerate discrimination because of differences, such as age, ability, ethnicity, gender, gender identity or expression, religion, or sexual orientation. We want a workplace that is inclusive and diverse to that end we are setting bold goals and taking comprehensive action. To achieve these goals, we collect information that allows us to track the effectiveness of our Inclusion and Diversity programs.

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