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Data Analyst Automation Developer

TMF Group

  • Uniwersytecka 20, Katowice
    Katowice, Silesian
  • valid for 14 days
    until: 19 Dec 2021
  • contract of employment
  • full-time
  • specialist (Mid / Regular), senior specialist (Senior)
  • hybrid work
  • remote recruitment

TMF Group

Uniwersytecka 20


Your responsibilities

  • Organize, store, analyze, and transform data from different sources and datasets, into information that can be utilized to make business decisions and actions, using various techniques.

  • Create complex reports and dashboards that deliver valuable insight to business leaders and operators.

  • Create, maintain & amend regular reports, based on continuous improvement model aligned with stakeholder requirements.

  • Analyze, understand, and model data employed within key processes, to (re)define flows, report production and data visualizations, which improves efficiency and effectiveness of the outputs and insights we deliver to clients.

  • Work with stakeholders, subject matter experts and peers, to ensure that requirements are captured accurately, solutions meet defined business needs and that agreed business benefits are realised.

  • Provide training and knowledge transfer to operations colleagues, enabling them to use the solutions you have designed, built and deployed.

  • Take ownership and provide oversight of data quality improvement, identifying potential enhancements to improve data accuracy, reduce process re-work and minimise operational risk.

  • Promote and evangelise data and automation solutions within local jurisdiction to increase colleague support and stimulate colleague ideas

  • Identify, analyze, and interpret trends or patterns within complex data sets or data processing.

  • Work closely with Digital Operations colleagues to develop skills, drive innovation, share key learning, track benefits and provide local coordination on behalf of global technology platform(s).

Our requirements

  • 3+ years of relevant career experience

  • Strong process improvement and/or problem-solving skills.

  • Works with key stakeholders to accurately elicit, test and document business needs.

  • Ideally understands data structures and data models, as well as key data processing concepts.

  • Knowledge of any data analytics or data visualization tools, process automation or programming language (e.g. Alteryx – strongly preferred, Tableau, Power BI, VBA, SQL, UI Path, Python).

  • Experience working with multiple data source types, e.g. flat files, databases, Excel, XML, JSON.

  • Familiar with data visualization, data analytics and data management concepts.

  • Proactive identification, research and proving of new ideas and opportunities.

  • Professional certifications considered but not essential, please state upon applicatio


  • Strong writing, communication & interpersonal skills; fluent in business English.

  • Able to work effectively at all levels, including with external clients and partners, if required

  • Able to communicate open items, issues and deadlines clearly and in a timely manner.

  • Comfortable working within a diverse culture and across geographies.

  • Good organization skills, with an attention to detail, but can also work in ambiguous situations.

  • Competent self-starter and quick learner, exploiting multiple learning options and resources.

  • Positive attitude, self-confident and self-motivated, with altruistic tendencies

What we offer

  • Learning opportunities: you will work with highly experienced colleagues who are ready to share their knowledge, and will receive the opportunity to work on diverse and complex client requests. You will also be able to apply for and be supported for training

  • Value-driven work environment: you can expect integrity and respect from all your colleagues and your leadership team

  • Teamwork:an environment: where we learn from our mistakes and work together to improve our processes continuously. A no-blame culture where teamwork is important, valued and lived daily

  • Ambition:we are a growing company in which we constantly look for the next opportunity and where all ideas are welcome

  • Benefits

  • sharing the costs of sports activities

  • private medical care

  • sharing the costs of foreign language classes

  • sharing the costs of professional training & courses

  • life insurance

  • remote work opportunities

  • flexible working time

  • coffee / tea

  • pre-paid cards

  • holiday funds

  • employee referral program

TMF Group

TMF Group is one of the leading international companies that provides professional services in more than 80 countries.We help our clients expand across the international borders.

Our expert accountants, corporate secretarial and HR and payroll professionals are located around the world, enabling clients to operate their corporate structures in different geographical locations.

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This is how we work
This is how we work

Job Purpose:

We are on an ambitious journey of digital transformation, to accelerate our business growth, improve our customer satisfaction and reduce our cost to serve. To achieve this, we are engaged in strategic initiatives and actions that leverage innovative technologies, to optimise our service delivery model, minimise our time to value and maximise our solution quality and consistency.

Scaling this Digital Operations model, we are now recruiting data-literate and computer-literate business professionals, with the right aptitude and attitude, to be embedded within our regional Operational Excellence team, part of wider Digital Ops. These professionals will establish and drive efficiencies in the business lines of Client Payroll delivery and/or Client Accounting & Tax delivery, and other ancillary services.

As a successful candidate, you will have proven experience relating to business solution design, development, maintenance & support, ideally working within (or closely with) business operations teams. You will be joining a small team of problem solvers, to apply your experience and develop your skills, in the pursuit of discovering, analysing, simplifying and automating complex data-oriented processes.