Power BI Developer

Vallum Associates
London
1 month ago
Applications closed

Related Jobs

View all jobs

Power BI Developer

BI Developer

Graduate BI Developer

BI Developer

Power Platform Developer

Power Apps Developer

Job Description

Position:Power BI Developer

Contract:Inside IR35

Location:London, UK - Onsite

Description:

We are seeking a skilled Power BI Developer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and maintaining business intelligence solutions using Power BI. As a Power BI Developer, you will help our organization make data-driven decisions by creating interactive reports and dashboards to visualize complex data sets. You will work closely with stakeholders, data analysts, and other departments to identify business requirements and translate them into actionable insights.

Key Responsibilities:

  1. Collaborate with cross-functional teams to gather and understand business requirements and objectives for data visualization.
  2. Develop and design interactive dashboards and reports using Power BI to provide actionable insights and support decision-making processes.
  3. Perform data modeling, create data visualizations, and maintain data accuracy and integrity within Power BI.
  4. Utilize DAX, SQL, and other programming to manipulate and transform data according to business needs.
  5. Optimize and enhance existing Power BI reports and dashboards for improved performance and user experience.
  6. Conduct user training sessions and provide support to end-users to ensure proper adoption and understanding of Power BI tools and solutions.
  7. Stay updated with the latest trends and advancements in business intelligence and data visualization technologies.

Qualifications:

  1. Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
  2. Proven experience as a Power BI Developer or similar role, with a strong portfolio of successful BI projects.
  3. Proficient in using Power BI Desktop, Power BI Service, and DAX.
  4. Strong understanding of data modeling, SQL, and data warehousing principles.
  5. Excellent analytical and problem-solving skills with a keen attention to detail.
  6. Ability to communicate complex data concepts clearly to both technical and non-technical stakeholders.
  7. Strong organizational and project management skills.

Skills:

  1. Experience with additional BI tools like Tableau, QlikView, or Looker is a plus.
  2. Familiarity with cloud platforms such as Azure or AWS and their data services.
  3. Knowledge of Python or R for data analysis and manipulation.

If you are interested in this opportunity, feel free to contact Saugat Singha on +44 (0) 2035 350 198 or alternatively reach by email on[emailprotected].

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Careers

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Careers

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.