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Rare: Group

Python Data Insights Analyst

Remote in UK
Market Research
Creating Customer Wins
Active
3 days ago
Responds to
100% of requests
Responds in
2 days
Requests
0 pending
Conversations
20 started

Skills & Experience

Job roles: Data/Insight Analyst
Experience level: Mid
Tech stack/tooling used: PostgreSQL, dbt
Core skills considered: SQL, Data Analysis, Python, ETL
Other skills considered: Power BI

Logistics

Base salary: £45K - £60K
Employment type: Permanent
Remote working: Remote (~ monthly office visits)
Work from: Within United Kingdom
Working Timezones: (UTC) London +/- 1 hours
Visa sponsorship: Not available

Job Description

About Rare: Consulting

We empower our clients to navigate and capitalise on commercial opportunities within the UK’s private health, beauty and wellness market. Our expertise spans across pharmaceutical and medical device manufacturers, healthcare providers, and investors, helping them make informed, strategic decisions with precision and confidence.


We provide up to date, accurate data through our proprietaryRare: Monitorplatform, enabling our customers to target prospects, helping our customers grow their market and bring new products to market. We also deliver high value market intelligence that highlights commercial opportunities. Our expertise in competitor analysis allows providers to monitor industry trends, assess market demand, and make data-driven decisions that enhance their positioning and patient engagement. Understanding patient needs and market movements ensures they stay ahead in an ever-evolving landscape.



Working for Rare: Consulting

We are a small consultancy and SaaS startup of around fifteen people, all working remotely, with in-person meetups typically a few times a year, although this role may need monthly meetups. We are primarily distributed across the UK, Ireland, and Spain, with a growing delivery team in Paraguay. We have a flat company structure where everyone is a hands-on contributor to our success. We are looking for grounded professionals who thrive on ownership, are comfortable creating clarity out of ambiguity, and enjoy finding creative solutions to complex problems.

If you have a background in freelancing or contracting, we think you will feel at home. We want to meet people with strong interpersonal skills who can take the lead and advocate for their ideas while taking priorities and feedback into account. Given the dual nature of our business, you should be comfortable working closely with both our consulting and SaaS product delivery teams, and with external clients and internal engineers alike.

We believe work should be measured by outcomes and impact, not just outputs. In exchange for your expertise, we offer genuine professional freedom to pursue your ideas in a results-oriented setup, free from unnecessary red tape. You will have the autonomy to organise your own schedule and maintain a sustainable work-life balance.


The Role We are seeking a technically capable Mid-going-on-Senior Data Analyst to help our consulting team deliver client sales reports from our new data warehouse and OLAP cube environment. You will hold shared responsibility for the end-to-end data lifecycle across our infrastructure and data engineering. Day to day, you will work with our consulting team to design and publish sales and market reports and dashboards, partner with a DevOps engineer to build and deploy robust ETL pipelines, and maintain the integrity of our analytical schemas. You will also work closely with our backend engineering team to productionise data flows that provide precise, actionable insights.

A critical part of this role is recognising that sensitive client sales data needs different security policies and lifecycles from our public proprietary data sets. You will advocate for strong data governance and security protocols with the Engineering team who build the infrastructure. You will have a strong grasp of Python and SQL, ideally with an understanding of data engineering, and enjoy synthesising unique insights through ETL. You will care deeply about data quality in a scaling SaaS environment.

This is not a pure reporting role. Where you have capacity, we would love you to help shape bespoke consulting proposals, manage the semantic layer, optimise dbt and Cube models, and keep our analytical schemas performant and robust. We would also welcome your input beyond reporting, helping us design and deliver other parts of the OLTP core data estate, spanning data modelling and AI processing. As a startup, we can offer ample opportunity to grow and get involved across the business, limited only by your appetite and motivation.

Key Responsibilities & Skills
  • BI dashboarding: build custom client sales and strategic dashboards in Metabase, Apache Superset or a similar non-Microsoft BI tool.

  • Python & SQL: proficient in both for data manipulation, automation and backend data processing (Pandas, NumPy, etc.).Notebooks: strong experience with Jupyter or Colab for prototyping and sharing ideas.

  • OLAP modelling: experience with relevant OLAP-related schemas, e.g. star schemas.

  • Consulting collaboration: allocate roughly 20 to 30 percent of bandwidth to supporting delivery of live consulting projects and client needs.

  • Analytical schemas: create optimised data models (e.g. star schema) for customer-facing consulting and reporting.

  • Internal tooling: build and maintain automated script & tools that let the consulting team run self-serve, ad-hoc queries.

  • Data quality assurance: produce data quality reports that directly steer and improve schema design.

  • Mentorship & training: help budding pythonista consulting analysts write modular, reusable Python.

Desirable Skills

  • Data architecture: contribute to design decisions on the product's data structure and flow.

  • Postgres: experience with Postgres syntax and extensions such as geospatial, pgvector, postgis and tlsh_pg (Trend Micro Locality Sensitive Hash).

  • Knowledge graphs: understanding of data architectures that harness graph data models, which we will adopt for some data sets.

  • Healthcare domain: interest in or experience with healthcare CRM or sales execution data.

Company Benefits

  • Competitive salary
  • Full time, permanent role
  • We are open to considering flexible working requests
  • £750/ year training bursary - do anything you like, we won’t ask!
  • 90% Remote working
  • Ideally suit someone looking to work in a start-up or SME/high growth environment!

Interview Process

  • 30 Mins informal chat to get to know us and vice versa
  • 60 minute formal technical interview
  • Decision

Message prompt from Gawain

Gawain on cord
We're keen to hear about your experience managing and analyzing sales & CRM related data and sales reporting using data warehousing or OLAP.

Skills of candidates in conversation

SQL
Python
Data Analysis
Power BI
Tableau
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Active 3 days ago
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Python Data Insights Analyst at Rare: Group
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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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