At a Glance
- Tasks: Help migrate to Snowplow Unified and modernise web analytics with cutting-edge tools.
- Company: Join a forward-thinking team focused on data-driven insights.
- Benefits: Flexible working hours, competitive pay, and the chance to work on impactful projects.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Be at the forefront of analytics innovation and make a real difference.
- Qualifications: 5+ years in Analytics Engineering with strong SQL and dbt skills.
The predicted salary is between 50000 - 70000 £ per year.
We're looking for an experienced Analytics Engineer or specialist consultancy to help complete a migration to the Snowplow Unified package and modernise an existing web analytics stack built on Snowflake and dbt.
Project Scope
- Complete the Snowplow Unified migration
- Move deprecated and custom models onto native Unified outputs
- Upgrade to a current package version
- Remove unused components and validate metric parity with legacy reporting
- Implement user stitching
- Configure user identity resolution and mapping
- Enable customer-level journey tracking using a provided master identifier
- Migrate to the Snowplow Attribution package
- Replace existing custom attribution models
- Configure required dependencies, including the Conversions module
Engagement
The consultant will work closely with analysts and data engineers, embedding within an established dbt workflow and review process. The engagement is expected to be up to 5 days per week, though part-time arrangements may be considered.
Ideal Experience
- 5+ years in Analytics Engineering
- Hands-on experience with Snowplow Unified migrations
- Experience with user stitching/identity resolution and the Conversions module
- Strong SQL and dbt skills
- Experience modelling large-scale event data in Snowflake
- Snowplow Attribution experience is a strong advantage
Timing
Start as soon as possible. Proposed delivery sequence:
- Unified package clean-up and migration
- User stitching implementation
- Attribution migration
All changes should be validated alongside existing reporting before legacy models are retired.
StudySmarter Expert Advice🤫
We think this is how you could land Contract Snowplow Migration Support in Bath
✨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 Contract Snowplow Migration Support in Bath
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Contract Snowplow Migration Support at Masentó Group, 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 Masentó Group.
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 Masentó Group
✨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!
