Analytics Lead: Data Strategy & Insights (Fabric & ML)

Analytics Lead: Data Strategy & Insights (Fabric & ML)

Freelance No working from home possible
Tilt Recruitment Limited

At a Glance

  • Tasks: Lead data analytics initiatives and shape strategies using Microsoft Fabric and Power BI.
  • Company: Tilt Recruitment Limited, a forward-thinking recruitment agency.
  • Benefits: Competitive day rate, flexible working arrangements, and opportunities for professional growth.
  • Other info: Role is outside IR35, offering flexibility and autonomy.
  • Why this job: Make a significant impact by driving data quality and insights in a dynamic environment.
  • Qualifications: Expertise in Microsoft Fabric, Power BI, SQL, Python, and predictive analytics.

Tilt Recruitment Limited is seeking an experienced Data Analytics Lead to advance our Microsoft Fabric and Power BI capabilities. This role involves shaping analytics strategy, translating business needs into reporting solutions, and driving data quality initiatives.

The ideal candidate will possess strong expertise in Microsoft Fabric, Power BI, SQL, and Python, with a proven track record in predictive analytics and stakeholder engagement.

The position offers a competitive day rate and is outside IR35.

Analytics Lead: Data Strategy & Insights (Fabric & ML) employer: Tilt Recruitment Limited

Tilt Recruitment Limited is an exceptional employer that fosters a collaborative and innovative work culture, perfect for professionals looking to make a significant impact in the field of data analytics. With a focus on employee growth and development, we offer opportunities to enhance your skills in cutting-edge technologies like Microsoft Fabric and Power BI, all while enjoying a competitive day rate and the flexibility of an outside IR35 role. Join us in a dynamic environment where your contributions are valued and rewarded.

Tilt Recruitment Limited

Contact Details:

Tilt Recruitment Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Analytics Lead: Data Strategy & Insights (Fabric & ML)

Showcase Your Skills with a Public Portfolio

As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.

Get Involved in Data Science Communities

Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.

Leverage Local Networking Opportunities

Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?

Pitch Your Services Directly to Companies

Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!

We think you need these skills to ace Analytics Lead: Data Strategy & Insights (Fabric & ML)

Microsoft Fabric
Power BI
SQL
Python
Predictive Analytics
Data Quality Initiatives
Analytics Strategy

Some tips for your application 🫡

Showcase Your Projects:When applying for a freelance data science role like Analytics Lead: Data Strategy & Insights (Fabric & ML) at Tilt Recruitment Limited, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!

Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!

Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at Tilt Recruitment Limited.

Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!

How to prepare for a job interview at Tilt Recruitment Limited

Show Off Your Data Wizardry

As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!

Be Ready to Dive Deep into Technical Questions

Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!

Help Them Understand Your Work Style

Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.

Pitch Your Value Proposition

When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!