Data and Analytics Salary Guide 2016 | Harnham UK

The definitive source of salaryinformation for the UK data & analytics market

harnham data & analytics salary guide 2016

Welcome to the Harnham annual salary guide for 2015 - 2016, and our latest look back over a year in data and analytics.

I am pleased to present the 2016 Harnham salary guide, that is only made possible with your collaboration.

Not only have we witnessed a busy 12 months in data and analytics – a trend that shows no signs of slowing down, but also this year we celebrate our 10th year of recruiting within the data and analytics market.

I can say first hand that the changes we have witnessed during this time have been incredible.

We’ve seen the rise of big data, the title of data scientist voted as the sexiest job of the 21st century, pivotal questions raised in relation to legislation and ownership of our data, and new tools developed so quickly that the market has only just digested the latest must-have toolkit before they have to adopt the next one. We have also seen the chief data officer get a seat at the executive table of major organisations.

Above all, everyone is taking data seriously. If you’re working in this market, you’re in a good place. The demand for analytical skills continues to grow and buck economic trends.

I am sure you will find this guide helpful, and thanks for your support over the last 10 years. I look forward to working with you over the next 10!

salary guideintroduction

Salary guide 2016 _ page 2

Dave FarmerSenior Partner

for more information, go to: harnham.com

about this guideSalary guide 2016 _ page 3

As you would expect from a leading presence in the data and analytics industry, we have an ongoing process of monitoring trends within the market.

Our data for this guide is collated based on over 1,000 responses from data and analytics professionals around the UK, along with:

_ Every role registered with Harnham over 2015_ Insights from candidates we have worked with_ Our internal analysis of the hiring market

Salaries are broken down by experience level and in a broad sense, they represent the following guide to likely years of experience:

Entry Level 0-2 years Mid Level 3-6 years Senior Technical or Manager Level 7-10 years Director Level 11 years +


key findingsSalary guide 2016 _ page 4

Within this year’s guide, you will find the past year’s salary data and key findings.

With such a wealth of information, our challenge is fitting it all in, so if you have a specific question about something you see, or don’t see here, get in touch, and one of the team will find the answer for you.



The two major hubs for analytical hiring last year were London and Edinburgh, with pockets of roles elsewhere in the UK.

70% of candidates who handed in their notice during 2015 were counter offered. Only 12% accepted.

Only 4% of respondents had been in their role for over 5 years.

12% of respondents left their roles in 2015 due to a lack of training offered.

We have seen the rise of new tools such as Apache Pig and Pentaho making a big impact this year, as well as Hadoop and R still increasing in popularity.

The most popular tools were: Pentaho 59% Apache Pig 42%

Hadoop 23% R 18% Tableau 7% SQL 6% MS Excel 9% SAS 33%

80% of respondents felt as secure or more secure in their jobs than the previous year.

The average counter offer increased to 20% above base. This is up from 10% in 2015.

69% of respondents received a higher bonus than last year.

46% of respondents want to be able to work from home and 40% want flexible working hours.

The need for visualisation tools, particularly Tableau and Qlikview, is more prevalent, including in areas not previously seen.

Delve a little deeper into the topical market trends you need to know about.

key findings



credit riskThe key credit risk analytics drivers for hiring are often closely linked to legislation and regulation changes. You validated this by telling us that in 2015, this was no different, with increased demand for IFRS 9 knowledge.

This had an impact on both permanent and contract salary rates. With the IFRS 9 compliance date of January 2018 rapidly approaching, we would expect this trend to continue.

Over the past 10 years, we have seen a large shift in the scope of opportunity for credit risk analysts. Once largely the staple of big banks, the growth in alternative lending, particularly in the subprime and peer-to-peer spaces, along with the growth of analytics start-ups consulting into Financial Services, has led to opportunities in credit risk becoming more varied.

WHAT YOU SAID: “Major boom towards IFRS 9 Model Development and skills in this area.”

OUR CONSULTANT’S THOUGHTS: “SAS continues to be the predominant tool used within credit risk for FS businesses.”Ewan Dunbar -

WHAT THE DATA SAYS: Mid-level, 3-6 years work experience displays the biggest disparity in salaries. We saw respondents earning £32k to £86k. A big factor in earning potential is education level at the start of a career, with Ph.D. level education commanding a larger premium in the market.


CREDIT RISK

Role Type

CREDIT RISK

Role Type

Entry Level Mid Level Senior or Manager D i re cto r

Annual Base Salary - £ GBP [London / Outside London]


Daily Contract Rate - £ GBP per day

£58k / £51k

£46k / £41k

£57k / £46k

£525

£500

£470

£82k / £73k

£56k / £48k

£74k / £67k

£750

£735

£700

£121k / £105k

£99k / £85k

£116k / £102k

£950

£900

£875

£33k / £28k

£28k / £26k

£32k / £27k

Decision Science

Decision Systems

Portfolio Management

Decision Science

Decision Systems

Portfolio Management

£250

£250

£225

ANNUAL PERMANENT SALARY AVERAGE

DAILY CONTRACT AVERAGE PAY RATES



data & technology

WHAT YOU SAID: “The most-sought after candidates are big data engineers with a minimum of 2 years’ production level Hadoop and Spark experience and Scala programming backgrounds.”

OUR CONSULTANT’S THOUGHTS: “A BI professional can’t just develop automated reports anymore. The most sought after candidates are not just the strongest technically, but are also effective communicators with commercial acumen.”Ross Whatling -

WHAT THE DATA SAYS: “The top 3 reporting tools desired by clients were, SQL, Tableau, and Qlikview.”

Over the last year in Business Intelligence, we saw continued flux, as companies across all sectors look to maximise value from their data with insightful, visually powerful and interactive reporting; in contrast to simply churning out old fashioned and forgettable bar charts.

As a result, Tableau and Qlikview outperformed the big vendors, indicating that companies are seeking a broader skillset from candidates, who have excellent commercial acumen and presentation skills, along with the technical skills, to ensure that BI really does drive business change and commercial gains.

Demand has significantly increased due to the amount of companies exploring big data technologies (Hadoop and Spark are the most common) causing a subsequent surge in the demand for big data engineers and architects, most commonly for those at a senior level who can design and develop an entire greenfield platform.


DATA & TECHNOLOGY

Role Type

DATA & TECHNOLOGY

Role Type





£60k / £52k

£55k / £42k

£70k / £66k

£50k / £42k

£51k / £44k

£50k / £43k

£90k / £78k

£68k / £55k

£90k / £85k

£68k / £64k

£70k / £63k

£64k / £58k

£114k / £102k

£101k / £80k

£118k / £100k

£110k / £95k

£90k / £82k

N/A / N/A

£34k / £30k

£31k / £27k

N/A / N/A

£28k / £26k

£32k / £28k

£33k / £26k

Big Data Tools

Business Intelligence

Data Architecture

Data Governance/Mgt.

Data Warehousing

Database Admin

Big Data Tools

Business Intelligence

Data Architecture

Data Governance/Mgt.

Data Warehousing

£475

£476

£601

£434

£540

£740

£585

£738

£522

£700

£844

£711

£955

£688

£860

N/A

£321

N/A

£290

£385





marketing & insightMarketing analytics has continued to grow and develop throughout 2015. The emergence of the “data scientist” continues to cause a stir and some confusion in the market. A number of candidates simply want the job title, which has led to some companies

advertising their traditional marketing analytics roles as a “data scientist”.

The reality is that the vast bulk of jobs and demand is for technically strong, traditional marketing analysts. This has meant salaries are at an all-time high and we’ve also seen the need for candidates to remain hands-on at more senior levels.

R continues to gather pace alongside other open source tools, but SAS still retains a strong presence. We believe client demand will continue and candidates will continually need to train in new technologies as digital analytics, marketing analytics, and data science disciplines continue to merge. WHAT YOU SAID: “Open source tools are becoming more prevalent, allowing big data manipulation from the unstructured to structured data types.”

OUR CONSULTANT’S THOUGHTS: “In previous years, analysts were looking for a move into SAS/SQL based roles, but increasingly, insight analysts are looking for companies which provide innovative training as well as the chance to use open source technologies including R, Python, and C++.”Talitha Boitel-Gill -

WHAT THE DATA SAYS: “Only 2% of respondents have been in their current role for more than 5 years.”


MARKETING & INSIGHT

Role Type

MARKETING & INSIGHT

Role Type





£61k / £48k

£60k / £48k

£50k / £40k

£61k / £53k

£45k / £41k

£48k / £40k

£85k / £76k

£80k / £70k

£107k / £90k

£90k / £68k

£78k / £65k

£78k / £70k

£118k / £101k

£100k / £85k

£130k / £110k

£136k / £118k

£115k / £98k

£125k / £105k

£36k / £33k

£40k / £35k

£35k / £29k

£40k / £34k

£34k / £28k

£35k / £30k

Campaign Analyst

Data Planner

Econometrician

Insight Analyst

Market Research

Pricing Analyst

Campaign Analyst

Data Planner

Econometrician

Insight Analyst

Market Research

Pricing Analyst

£385

£450

£448

£388

£307

£334

£437

£554

£554

£451

£455

£408

£600

£650

£685

£653

£625

£664

£250

£231

£260

£240

£235

£265




As a digital analyst, the career roadmap for talented professionals is still not exact. Many companies have strikingly differing views as to what to do with their online analytics. We’ve seen digital analysts sat within marketing teams, product, IT, or a centralised analytics function. These positions could all be titled “digital analyst” however, one could be more a tag

management specialist, one could be a digital marketing analyst and another could focus predominantly on product development and testing.

Luckily, this means that analysts can apply their skills in a variety of ways and therefore also take their careers in a number of directions - for example, if optimisation is your thing, then the likelihood is, as a digital analyst you’ll be able to specialise and control your career path.


digital analytics

WHAT YOU SAID: “[CRM is playing an increasing role] within social and digital”

OUR CONSULTANT’S THOUGHTS: “People with polished presentation skills who are accomplished data storytellers are the most sought-after on the market as they can speak with senior non-technical stakeholders with credibility and gravitas. Even highly technical roles are becoming more business-facing as analysts need to gather requirements, propose solutions and project manage delivery.”Dan Lewis -

WHAT THE DATA SAYS: “Google Analytics was the dominant tool of respondents, followed by Adobe Analytics”


DIGITAL ANALYTICS

Role Type

DIGITAL ANALYTICS

Role Type





£48k / £43k

£55k / £46k

£50k / £45k

£310

£376

£350

£66k / £50k

£82k / £60k

£75k / £55k

£380

£450

£420

£90k / £72k

£100k / £80k

£95k / £75k

£564

£622

£600

£34k / £28k

£30k / £25k

£36k / £30k

CRO

Implementation

Web Analytics

CRO

Implementation

Web Analytics

£235

£283

£280





data scienceThere is no doubt that data science is the hottest topic in analytics today. Naturally with the buzz around analytics, it creates a host of problems when it comes to defining the term ‘data science’. The competition is particularly fierce for quantitative subject Ph.D. graduates. With such

a wide range of salaries offered, it is difficult to benchmark. As data-driven transactional companies continue to compete for the same talent, we can only predict salaries will continue to rise.

The industry has never been busier and we are witnessing companies across the UK looking to either build or enhance their data science capability.

We are expecting big things for 2016 – watch this space! WHAT YOU SAID: “Machine learning is having a real commercial impact”

OUR CONSULTANT’S THOUGHTS: “We have seen a considerable rise in the use of Apache Spark in order to allow companies to process massive amounts of data quickly. Given its compatibility with Apache Spark, we have also seen a positive trend in the number of companies and data scientists learning Scala, and using it as their primary programming language”Nick Mandella -

WHAT THE DATA SAYS: “62% of all data scientists had been in a role for only 0 - 2 years.”


DATA SCIENCE

Role Type

DATA SCIENCE

Role Type





£65k / £57k

£509

£91k / £82k

£624

£164k / £133k

£845

£50k / £41kData Scientist

Data Scientist £400




We have seen the market flux and change through the diverse perspectives of a job seeker and hiring company.

Beyond simply being a fulfilment service, we have built a robust international team that is able to continue to support the data and analytics community worldwide.

This legacy, in a year where we celebrate our 10th anniversary, will be a starting point and platform for us to continue to stand out as the default supplier for data and analytics professionals.

For further information on our services, or if you have any questions on the content of our 2016 Salary Guide, please contact us.

1ST FLOOR, ASHVILLE HOUSE,131-139 THE BROADWAY,WIMBLEDON,SW19 1QJ

T: 020 8408 6070E: [email protected]: harnham.com

2016 sees Harnham celebrate 10 years of trading. We have found jobs for thousands of candidates over that time, to become the global leader in data and analytics recruitment.


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Data and Analytics Salary Guide 2016 | Harnham UK

Data & Analytics

Transcript of Data and Analytics Salary Guide 2016 | Harnham UK