Most recently, we were lucky enough to spearhead the Data Engineering recruitment start-up project for Holland & Barrett. This was a new eCommerce data division, with the sole purpose of utilizing data to help improve the well-being and mental health of the consumer base across the world.
We worked with five key technical areas spanning fifteen internal stakeholders across Tech, Sales & Marketing & Human Resources, hiring across six countries: UK, Netherlands, Portugal, Germany, Turkey & Spain.
Making strategic hires in these areas:
1) Big Data Engineers – AWS, S3, GCP, Kubernetes, Spark, Kafka, SQL, Python, TDD, CI/CD.
2) Datawarehousing Engineers- Amazon Redshift, World class SQL, ETL workflows, Python & BI Reporting.
3) Business Intelligence Engineers & BI Analysts – Strong BI, Advanced dashboarding, SQL Redshift, Athena, dimensional modelling.
4) Data Scientist – Cloud Tech, Python, R, SQL, projects to include ‘Learn-to-Rank’, Personalization, Recommendation & Search, Spark and MLlib (SparkR, sparklyr, pyspark)
5) Product Data Analysts – Product Managers – Strong SQL, Python, R, Tableau, Product Analytics, Google, A/B testing & funnel optimization.
Data helps you make decisions in every aspect of your business, from R&D, to production, to distribution, no matter what you sell. Human resources teams use data to resolve internal issues, identify the best candidates and make new hires. Marketing departments use data to find the most receptive audience and determine.
Why Data is important to your business:
- Make Informed Decisions
Data = Knowledge. Good data provides indisputable evidence, while anecdotal evidence, assumptions, or abstract observation might lead to wasted resources due to acting on an incorrect conclusion.
- Stop Molehills from Turning into Mountains
Data allows you to monitor the health of important systems in your organization: By utilizing data for quality monitoring, organizations are able to respond to challenges before they become full-blown crisis.
- Get the Results You Want
Data allows organizations to measure the effectiveness of a given strategy: When strategies are put into place to overcome a challenge, collecting data will allow you to determine how well your solution is performing, and whether your approach needs to be tweaked or changed over the long-term.
- Find Solutions to Problems
Data allows organizations to determine the cause of problems more effectively.
- Back Up Your Arguments
Data is a key component to systems advocacy. Utilizing data will help present a convincing argument for systems change.
- Stop the Guessing Game
Data will help you explain (both good and bad) decisions to your stakeholders.
- Be Strategic in Your Approaches
Data increases efficiency. Effective data collection and analysis will allow you to direct scarce resources where they are most needed.
- Know What You Are Doing Well
Data allows you to replicate areas of strength across your organization. Data analysis will support you to identify high-performing programs, service areas, and people.
- Make the most of Your Money
Funding is increasingly outcome and data-driven. With the shift from funding that is based on services provided to funding that is based on outcomes achieved, it is increasingly important for organizations to implement evidence-based practice and develop systems to collect and analyse data.
How do I understand the importance of Data, by Richard Drew, Talent Acquisition Manager for EDGE 1:
My first real Data centric opportunity came in 2013 when I was fortunate enough to speak to a contact in the NHS who was embarking on a ground-breaking new project which would see new Business Intelligence products rolled out across the various regions.
The team was a mixture of Business Intelligence Analysts, Software Engineers, Data Analysts, Project Managers, Business Analysts, and a Technical Author.
Within about 14 months I would have a team of twenty-five contractors working for the client, instrumental in managing the development & automation of the SSIS ETL procedure for data across the NHS.
They would also manage the support & development of SSAS multidimensional (MDX) & Tabular (DAX) models and help develop projects for new patient systems. All the reporting developed was in Power BI using DAX for Tabular models.
Collaborating with these professionals and trying to understand their world took hold and my love of working Data Engineering recruitment became more prominent.
Here at Edge 1, we would love to collaborate with you and provide a detailed insight into the data market, advise on salary surveys, assist with interview process set up, technical testing and how to improve staff retention.
With our mix of agency and internal recruiting experience, you can benefit from the speed, quality and of course, cost of my services. We look forward to hearing from you.