Harnham uk salary_guide_2016

The definitive source of salary
information for the UK data
& analytics market
harnham
data&analytics
salaryguide
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!
salaryguide
introduction
Salary guide 2016 _ page 2
Dave Farmer
Senior Partner
for more information, go to: harnham.com

aboutthisguide
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 +

keyfindings
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.
keyfindings

creditrisk
The 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.

CREDITRISK
Role Type
CREDITRISK
Role Type
EntryLevel MidLevel Senior orManager Director
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

datatechnology
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.”
“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.

DATATECHNOLOGY
Role Type
DATATECHNOLOGY
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
ANNUAL
PERMANENT
SALARY AVERAGE
DAILY
CONTRACT
AVERAGE PAY RATES

marketinginsight
Marketing 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.”
“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.”

MARKETINGINSIGHT
Role Type
MARKETINGINSIGHT
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
ANNUAL
PERMANENT
SALARY AVERAGE
DAILY
CONTRACT
AVERAGE PAY RATES

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

DIGITALANALYTICS
Role Type
DIGITALANALYTICS
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
ANNUAL
PERMANENT
SALARY AVERAGE
DAILY
CONTRACT
AVERAGE PAY RATES

datascience
There 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”
“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.”

DATASCIENCE
Role Type
DATASCIENCE
Role Type
£65k / £57k
£509
£91k / £82k
£624
£164k / £133k
£845
£50k / £41kData Scientist
Data Scientist £400
ANNUAL
PERMANENT
SALARY AVERAGE
DAILY
CONTRACT
AVERAGE PAY RATES

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 6070
E: info@harnham.com
W: 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.
contact

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