At a Glance
- Tasks: Dive deep into data, reconcile discrepancies, and build trusted Power BI dashboards.
- Company: Join a forward-thinking company focused on data integrity and analytics.
- Benefits: Competitive pay, flexible working arrangements, and potential for contract extension.
- Other info: Dynamic role with opportunities for professional growth and skill enhancement.
- Why this job: Make a real impact by transforming raw data into actionable insights.
- Qualifications: Hands-on Salesforce and Power BI experience is essential; strong SQL skills required.
The predicted salary is between 40000 - 50000 £ per year.
This is a hands-on data investigation and foundation-building engagement, not just a reporting role. You'll get into the weeds of our data across Salesforce and connected systems, reconcile discrepancies, trace root causes, and establish a clean, trusted data layer that Power BI dashboards and advanced analytics can be built on. We need someone who knows the Salesforce data model inside out and can turn a validated data layer into Power BI dashboards the business trusts.
What you'll be doing:
- Audit and reconcile data across Salesforce CRM and connected CPQ/ERP systems to identify mismatches and inconsistencies.
- Perform root cause analysis on discrepancies, tracing issues back to process gaps, configuration errors, or integration failures.
- Analyse and clean product, customer, and account data to resolve duplication, incomplete records, and misclassification.
- Map data flows between systems and document where information breaks down or diverges.
- Highlight process and governance gaps that contribute to poor data quality.
- Build and deliver Power BI dashboards on a clean, validated data layer.
- Recommend ways to streamline master data across products, customers, and accounts.
- Work closely with business and technical stakeholders to align on data definitions and ownership.
Essential Skills:
- Hands-on Salesforce experience: data model, SOQL, objects and relationships. (Must Have)
- Power BI dashboard development: DAX, data modelling, published reports. (Must Have)
- Strong SQL: complex joins, CTEs, reconciliation queries.
- Root cause analysis and data lineage tracing.
- Ability to document findings clearly for both technical and business audiences.
Highly desirable:
- Oracle CPQ: configuration, pricing data, quote-to-order flows.
- ERP data experience (SAP, Oracle EBS, NetSuite, or similar).
- Understanding of how CRM, CPQ, and ERP interact in a quote-to-cash process.
- MDM (Master Data Management) concepts; data governance frameworks or data dictionaries.
- Data integration tools (MuleSoft, Boomi, Informatica).
- Python or R for data wrangling and analysis.
- Exposure to Snowflake, Azure, or Databricks.
The ideal candidate:
- Is comfortable with ambiguity, investigates first, then defines the problem.
- Can distinguish a data quality issue from a process design issue.
- Communicates findings proactively and turns analysis into actionable recommendations.
- Has done genuine data investigation and remediation, not just reporting.
Deliverables:
- Cross-system data reconciliation report with documented discrepancies and root causes.
- Prioritised list of data quality issues across products, customers, and accounts.
- Process gap assessment with recommendations.
- Cleaned and validated data layer ready for reporting.
- Power BI dashboards built on the validated data foundation.
- Data dictionary and field-mapping documentation across systems.
Data Analyst: Salesforce & Power BI employer: GNG Business Ltd
As a Data Analyst at our company, you'll thrive in a dynamic work culture that values hands-on problem-solving and innovation. We offer competitive benefits, opportunities for professional growth, and a collaborative environment where your expertise in Salesforce and Power BI will directly impact our data integrity and analytics capabilities. Join us in a location that fosters creativity and teamwork, ensuring you have the resources and support to excel in your role.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst: Salesforce & Power BI
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like GNG Business Ltd before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like GNG Business Ltd.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like GNG Business Ltd.
We think you need these skills to ace Data Analyst: Salesforce & Power BI
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at GNG Business Ltd, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to GNG Business Ltd, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab GNG Business Ltd’s attention and show the tangible impact of your work.
How to prepare for a job interview at GNG Business Ltd
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at GNG Business Ltd.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at GNG Business Ltd.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at GNG Business Ltd.
