Data Analyst F/H

As a Data Analyst F/H at RYDGE, your primary responsibilities will include designing and implementing Business Intelligence solutions, leading workshops to capture client requirements, and developing effective Power BI dashboards. You'll also take charge of data modeling, processing flows, and conducting tests to ensure quality outputs. Moreover, you'll play a significant role in training clients and supporting junior analysts in their development.

To qualify for the Data Analyst F/H position at RYDGE, you should hold a higher education degree and possess at least three years of experience in a similar role, preferably within a consulting or IT audit environment. Proficiency in Power BI and related tools, as well as expertise in SQL and Excel, are essential. Additionally, familiarity with DevOps tools and a passion for data will set you apart.

Yes, RYDGE embraces flexible work arrangements, allowing for remote work in the Data Analyst F/H role. While you'll have the opportunity to work from home, some occasional travel to client locations across France may be required.

At RYDGE, we prioritize professional growth and development for our Data Analyst F/H. You’ll have the chance to participate in enriching training programs, work on high-impact projects, and gain exposure to various industries. We also support certifications in tools like Power BI, which can further enhance your skills and career progression.

The work culture for Data Analysts at RYDGE is collaborative, supportive, and highly focused on teamwork. We value autonomy and initiative, encouraging you to take ownership of your projects. The team consists of talented individuals who share a common goal of helping clients succeed, creating a dynamic environment where you can thrive and contribute genuinely.

When designing a dashboard in Power BI, I typically start by understanding the client's specific needs through workshops. I focus on identifying key metrics and user stories, ensuring data is modeled correctly, and applying best practices in UX/UI to create an intuitive and impactful dashboard. Gathering feedback during the design process is crucial to make adjustments before final deployment.

Certainly! My experience with data modeling involves analyzing complex datasets and creating an Entity-Relationship Diagram (ERD) to organize and establish relationships among various data entities. This process ensures that data is structured to enable efficient querying and reporting in tools like Power BI.

In my previous roles, I've extensively utilized Power Query for data transformation and cleaning tasks. I can create complex data flows to import and manipulate data from various sources. Additionally, I'm proficient in DAX to create calculated columns and measures that help enhance the analytical capabilities of my dashboards.

To ensure accuracy in my data analysis and dashboards, I conduct thorough testing at various stages. This includes unit tests for individual components and integration tests for the complete solution. Peer reviews are also part of my process to catch potential issues early on, alongside continuous validation against the source data.

Effective client communication starts with active listening to understand their needs fully. I prioritize synthesizing information and presenting it clearly through structured updates and visuals. Regular check-ins and feedback sessions help maintain alignment, so clients feel engaged and informed throughout the project.

One challenging project involved a client with vast data discrepancies due to inconsistent data entry procedures. To overcome this, I initiated workshops with the client to identify gaps, implemented a structured data governance plan, and used Power BI to visualize discrepancies. This approach not only resolved the existing issues but also streamlined their data entry process moving forward.

I actively follow industry trends by participating in webinars, joining data analytics communities, and reading relevant publications. I enjoy experimenting with new tools and techniques in my own projects to understand how they can enhance our offerings and insights for our clients.

UX/UI is critical in data dashboards as it directly impacts user experience and insight clarity. A well-designed dashboard enables users to consume data efficiently and intuitively. I always strive for clean aesthetics, logical layouts, and interactive elements that enhance user engagement and foster better decision-making.

I have robust experience with SQL, which I've used extensively for data extraction and manipulation to inform my analyses. I'm skilled at writing complex queries to join tables, aggregate data, and filter results, allowing me to derive actionable insights from various databases.

To resolve data conflicts or inconsistencies, I first perform a thorough investigation to understand the source of the discrepancies. I then liaise with data owners to clarify any ambiguities. Establishing a meticulous data validation process alongside client communication is essential to ensure consistency and accuracy.