CRM Analyst

at  Harnham

YOUR SKILLS

The successful candidate will have the following skills and experience:

• Strong SQL to query and code large data sets, being analytically minded and a passion for data led decisions
• Experience using a campaign management tool, Adobe campaign, Salesforce
• Great communicator and able to convey complicated technical terms in digestible language

THE COMPANY

This company is looking for an experienced Product Manager to join them on an exciting journey, to work with their range of clients on building and shaping the product roadmaps for their websites and apps.

YOUR SKILLS AND EXPERIENCE

• Previous Product Management experience is required
• Agency or Start-Up experience is essential
• Google Analytics certification is preferred
• Strong stakeholder management and leadership skills

YOUR KEY SKILLS AND EXPERIENCE

• Strong technical experience in SQL, Python, Power BI and Excel
• Proven track-record working with geo-coding and geo-spatial data, strong spatial mindset
• Good background in insights and analytics
• Proficiency in web-scraping

YOUR KEY SKILLS AND EXPERIENCE

• Strong SQL and data visualisation experience
• Proven track-record in extracting data, draw insight and driving decision making
• Strong academic background in Mathematics + STEM degree
• Good expertise in stakeholder management
• Financial Services expertise is desirable

UK – REMOTE

£70,000-£90,000
This AI Health-tech start-up are looking for a Behavioural Data Scientist to join their R&D team.

SKILLS AND EXPERIENCE

• PhD in a relevant subject
• Several years commercial experience as a Data Scientist working with Behavioural data
• Experience building predictive models in Python
• Experience in the healthcare/ pharma space would be beneficial

YOUR SKILLS AND EXPERIENCE

The successful applicant will have the following skills and experience:

• Google Analytics
• Google Ads
• Account Management Experience

COMPANY

This exciting tech-driven startup is looking for a CTO to help them drive their Data strategy to productionise their LLM-based product. They have a 3-4 team that are building the product, where you will be driving the Tech strategy.

REQUIREMENTS:

• A background in leading technology teams, with a clear focus on AI and LLMs
• Ideal experience in small companies or startups
• Experience in software architecture and platform development
• Strong understanding of deploying a model in a sensitive customer environment
• Experience negotiating and managing supplier relationships
• Commercially driven with strong communication skills

YOUR SKILLS AND EXPERIENCE

The successful applicant will have the following:

• Google Analytics
• Meta and TikTok Platforms

YOUR SKILLS AND EXPERIENCE

You will have an extensive range of CRO Agency Experience to be Successful in your application.

• Agency background
• Extensive Experience in CRO and Optimization
• Client facing experience

YOUR SKILLS AND EXPERIENCE

• 8+ years of full time experience deploying and productionizing machine learning algorithms
• Experience with ML platform and infrastructure
• 10+ years of full time industry experience
• Experience with ML scalability
• Huge plus if you have deployed generative AI models into production in the past
• Experience leading teams is a huge plus
• Tools: Python, Tensorflow, SQL, Spark, Docker, GCP / AZURE / AWS

YOUR SKILLS AND EXPERIENCE

• 5+ years of full time experience deploying and productionizing machine learning algorithms
• Experience with ML platform and infrastructure
• Experience with ML scalability
• Huge plus if you have deployed generative AI models into production in the past
• Experience leading teams is a huge plus
• Tools: Python, Tensorflow, SQL, Spark, Docker, GCP / AZURE / AWS

$65-85/HR, $140,000-$160,000 BASE

If you are experienced in DBT, Snowflake, and Azure – this is the role for you. We are looking for a Lead Data Engineer that has previous experience working in large, collaborative teams and are open to a contract position until the end of the year with high likelihood of extensions.

THE ROLE

As a CRM Analyst your focus will be to build and develop the CRM strategy, specifically you will have to:

• Develop and implement the marketing plan through CRM strategy
• Identify areas for optimisation in the CRM process through segmentation and segmentation models
• Use SQL to query data and work with large data sets to extract insights and new ways to increase the optimisation of current CRM Strategy
• Provide insights into the customer, who they are and how best to engage with them!

THE ROLE

• Develop and design the product roadmaps
• Outline the product strategy
• Defining and prioritizing product features
• Work closely with design leads and engineers to ensure that requirements are being met

THE ROLE AND RESPONSIBILITIES

• Produce and maintain advanced analytics deliverables for the businesses tasks and projects
• Assist in the identification and prioritisation of potential analytics projects and products which could add to business value
• Develop and maintain advanced analytics products/algorithms
• Assist other tech teams across the business on data related subjects

THE ROLE AND RESPONSIBILITIES

• Generating insights from data and using it to drive decision making
• Modelling the impact of potential and recently launched features and products on customer satisfaction and financial outcomes
• Defining and delivering savings MI, metrics and measures
• Presenting complex MI and pulling out key insights to Savings team and senior leadership
• Using data to support commercial decision making
• Build deep understanding of what drives the savings market
• Looking at key growth initiatives and key metrics

THE ROLE

As a Senior Data Scientist for the business, you will:

• Work solely with Behavioural data to understand patients as consumers and make sure the data engine is the best in class
• Analyse the data and build predictive models to understand patient behaviour
• Work with Data Engineers to put the ML models into production

THE ROLE

• Translating business goals into clear strategy.
• Devising KPI’s
• Client communication
• Recommendations
• Building digital roadmaps
• Business reviews
• regular meet-ups with clients

ROLE:

• Working closely with the two founders and tech team
• Establishing and creating the core Tech Strategy
• Working closely with existing and new partners
• Maintaining strong governance, security, risk management, IT policies and procedures
• Managing core tech budgets
• Specifying software architecture and platform strategy

THE ROLE

• Day-to-day line management and defining priorities with the team as well as agency management (SEO agency, website agency, paid social agency, and a Chinese marketing agency too).
• Managing digital marketing channels, CRO, website optimization, and understanding of website performance maintenance too
• Using GA4 and Drupal
• Using email marketing automation systems
• Setting up campaigns on Google ads and AB testing on the website to
• This is purely an Acquisition Marketing role but will focus on global customer acquisition, they only have sites in the UK.

THE ROLE

You will be the face of the award-winning agency, speaking to clients talking them through all of the strategies, evaluating their needs, and analysing the Optimization data
You will have an extensive agency-side background within the CRO industry and will be a doer, being able to come in and hit the ground running when it comes to all things CRO.

THE ROLE

As a Engineering Manager, you will…

• Work with data scientists to build end-to-end machine learning models using Generative AI and LLMs
• Built the infrastructure and platform to allow ML models to be deployed at scale
• Productionize and scale advanced machine learning algorithms
• Work with large scale data to build top solutions
• Build microservices and data pipelines
• Grow out a full team

THE ROLE

As a Tech Lead you will…

• Work with data scientists to build end-to-end machine learning models using Generative AI and LLMs
• Built the infrastructure and platform to allow ML models to be deployed at scale
• Productionize and scale advanced machine learning algorithms
• Work with large scale data to build top solutions
• Build microservices and data pipelines
• Lead projects and mentor more junior members