Senior Analytics Engineer - #1771456

Job Description

Your Career, Your Danske Bank……..You’re Danske Bank

Your role:

Senior Analytics Engineer

Data Analytics, Technology & Digital Development

Location

Donegall Square West, Belfast, Northern Ireland / Hybrid Working

Why you’ll want to work with us:

At Danske Bank, we’re driven by a clear purpose: to help customers, colleagues, and society thrive. We believe that what we do genuinely makes a positive difference and that our culture and ways of working create a unique place to grow your career. This includes investing in our people’s personal growth and wellbeing to ensure everyone feels that they belong and are set up for success.

You don’t have to just take our word for it - we are very proud of our external recognition which includes being rated by Best Companies as a 3-star World Class Organisation to work for, as a Top 100 Best Company to Work for in the UK and as 4 th in the Financial Services Sector.

We value diversity in its broadest sense which we know makes us stronger as a business and invites all colleagues to bring their whole selves to work. Our Diversity and Inclusion Strategy is central to our purpose and shows up in how we work every day.

Driving sustainability is a key strategic priority for us. We’d proud to have achieved the highest level in the Northern Ireland Environmental Benchmarking Survey by Business in the Community (BITC) for the seventh consecutive year.

We’re passionate about giving back to the communities in which we live and work. There are lots of ways you can get involved, such as fundraising for our charity partner (Include Youth), visiting schools to teach young people about money and budgeting, volunteering with a local food bank, planting trees, and so much more.

So, if you share our values and enthusiasm and all of what we stand for resonates with you, then you will find a home at Danske Bank!

Your benefits:

There’s much more to working at Danske Bank than just a salary but for this role we are offering a competitive salary.

We want to be a workplace in which our colleagues can succeed and feel empowered through all stages of their career and life. We also offer an attractive range of flexible benefits centred on wellness, financial, psychological, physical and social. Everyone’s circumstances are different, and our benefits can be tailored to your needs. For example, if you want to buy more holidays or need to avail of medical treatment, then we have a range of benefits for you. And if you want to make your money go further, our Danske Discounts offering is just for you. With non-stop discounts, this is the perfect perk for all colleagues. If the gym is of interest to you can avail of savings on gym membership.

WHAT DOES THE ROLE LOOK LIKE?

The Data Analytics and Insights team at Danske Bank provides cutting-edge data reporting, analytics and AI services across the bank. Reporting to the Data and Analytics Development Manager and BI Development Manager, you'll be the subject matter expert, leading the technical development and execution of strategic data analytics projects.

Your role will involve transforming complex, undocumented data structures into high-quality insights that drive business value. You'll lead small development teams to bring projects to life. We're looking for someone who thrives on continual, proactive learning as new technologies and techniques emerge in the market.

What You’ll Do

Including but not limited to:

• Provide expertise aligning to SFIA level 6, in two or more of the following Analytical tools; Python, Alteryx, QlikSense, Tableau, SSRS or similar.
• Implement our self-serve strategy in Data & Analytics by designing innovative data models and delivering reusable data products.
• Elevate the technical skills of the Data & Analytics team by offering top-tier standards, mentorship and coaching.
• In collaboration with the D&A Development Manager, design and implement the technology strategy for analytics; including transition to cloud and recommendations for cloud technologies.
• Actively seek out new reporting technologies, including those focused on AI, and form partnerships to advance both short- and long-term data strategies.
• Provide technical leadership for key strategic projects that improve data availability and quality, and provide reliable access to data for the rest of Danske Bank UK.
• Collaborate with Danske Bank Group analytics teams, leveraging and adapting Group solutions.
• Lead agile project teams including; engineers, product owners, and data analysts to understand data needs.
• Work in partnership with the wider Danske Bank business functions to ensure a reliable and unified source of information and truth for all.
• Ensure customers are provided with advice and service compliant with all existing legal, regulatory and voluntary code obligations, and all Bank standards, policies, processes and procedures.
• Drive increased maturity of analytics products and development process, as well as increased adoption of self- service data products, ensuring timely and accurate insights are available to wider business units.
• Actively support business analysts within planning meetings and maintaining a continuous back log.
• Foster environment of continuous improvement, dedicating time to own growth and skill levels to ensure they match the requirements of the role.
• Deliver tasks at pace and to a high standard whilst ensuring projects deliver or enable business benefit on an ongoing basis
• Demonstrate ability to think logically, a high level of numeracy and the ability to interpret data.
  
  

WHAT SKILLS AND EXPERIENCE WILL YOU NEED?

Essential

• 5+ years hands on experience as an Analytics Engineer with strong knowledge in designing, developing, and delivering end-to-end data analytics projects.
• Ability to design reusable and sustainable data models that produce key strategic business insights.
• SME level knowledge of at least 2 BI analytical applications such as Tableau, Alteryx, QlikSense, SSRS or similar.
• Experience of design, development and deployment of data warehouses or relational/analytical/multi-dimensional data marts.
• Ability to demonstrate excellent planning and organising skills to meet tight deadlines, coupled with a strong service delivery ethic focused on quality, competency and accuracy
• Excellent communicator who is able to translate and adapt message for different stakeholder groups, including technical and non-technical audiences.
  
  

Preferred

• 3 rd Level degree in IT or related STEM discipline.
• Good working knowledge of Python.
• Experience with Hadoop and Spark.
• 1+ years’ experience with IBM DataStage.
• Knowledge of cloud technologies such as AWS, data bricks, snowflake.
  
  

How We Work

Our belief is that we are “Better when Together” and want to balance the benefits of teaming up in person with flexible working where possible. We will be supportive and flexible to your circumstances, so for roles that offer a hybrid option we ask colleagues to attend their base location a minimum of 3 days a week so they can connect, collaborate and learn together. The other 2 days can be worked either from home or another bank location. Some of our roles are customer facing which means that it’s really important to be able to work with customers face to face and hybrid working isn’t appropriate.

If this sounds good to you, we’d love to hear from you. Apply by uploading your CV ensuring you have included enough detail to clearly demonstrate how you meet our criteria.

Good luck!

If you have a disability, long term health condition or additional need that requires accommodation or adjustments during any stage of the recruitment process, please advise us of this on your CV & a member of the team will be in touch to discuss!

Each one of us is different, and at Danske Bank we value and respect individual differences. Danske Bank is proud to be an equal opportunity workplace. That means that, as a committed equal opportunities employer, we welcome applications from all suitably qualified candidates regardless of (but not limited to); gender, ethnicity, background, nationality, generation, age, working style, religious background, sexual orientation, gender identity, gender expression and cognitive diversity.