Participation
245 30% 70% 48% 85% 52%
Sectors & Career Levels
Executive Summary • 75% of all respondents received an increase in salary in the LY (vs. 61% in marketing & digital community) • 1 in 5 received an increase of 11%+ - at least 6 times the rate of inflation • Evenly spread across ALL career levels – even most junior roles • Most common benefit is Contributory pension with half of Support level receiving this which is most unusual at this stage in their career • 75% of Director levelo respondents receiving Contributory Pension which is expected • Flexible hours and bonuses are most commonly awarded at Managerial level • Multi-nationals more generous with their range of benefits – especially Healthcare, Bonuses & Share Options • Bonuses are given to 75% of respondents in Multi-nationals vs. only 36% in Irish Companies (Possibly reflecting the high proportion of analytics practitioners in the Banking sector who are still struggling to award bonuses) • Annual Leave entitlement is increasing with two thirds at Managerial level having 25+ days holiday • 20% at Director level having 30+ days annual leave
Executive Summary • The gender pay gap stands at 6% in favour of males in this industry • In 62% of roles where both genders were represented, males earned more than their female counterpart s • Talent “Time Bomb” as the community are on the move • Overall 64% see themselves staying in their current company for less than 2 years • At Support level this increases to 80% • Most worrying of all, 41% of Managers will remain in their current company for less than 1 yr • Engagement Levels are low creating the need for meaningful employer branding strategies • 41% stating levels of 8+ (out of 10) • Support levels are the least engaged with only 1 in 5 feeling very engaged at 8+ • Directors are the most engaged but even then only half are at 8+ • And generally females are less engaged across all levels than males • Top Engagement Factors are consistent across all levels • Meaningful role, Flexible hours, Career Progression & Great Projects to work on • Three quarters of Directors state that Great Projects are the most important factor • One third of Support level state that On the Job Learning is very important
Executive Summary • Most see their future career staying in Data Analytics • Although slightly more males (62%) than females (47%) agree with this • More females see themselves in General Management, Consulting or setting up their own business than males • The most important skill stated by half the respondents as required to fulfil their goals next year is Influencing/Stakeholder Management • The second most important skill was Communication/Presentation, followed by Strategic Thinking at No.3 and Data Visualisation at No.4 • This correlates with demands from our clients for “Soft Skills” in tandem with the more technical skill sets. • The Top 3 Technical skills stated by respondents as being most important are Statistical/Predictive modelling, Data Visualisation & Descriptive Analytics
Most in-demand roles in Data Analytics • The latest roles and must-have skills: • Senior data leads with soft skills – EQ, Communication, Consultative – these include Data Transformation leads • Advanced analytics managers and senior data scientists (those with HADOOP stack) • Analysts are being hired from a broader array of quant backgrounds (including, notably engineering & GIS) • Deep learning (advanced machine learning/AI) across insurance, healthcare, telecommunication, banking and IT • Still demand for traditional data science skills e.g. modelling • New tools & modelling techniques to compliment Google or Adobe Analytics have greatly increased the capabilities of digital & web analysts – Digital Data Scientists some of the rarest hybrids
The role of Analytics within Organisations
How is the Analytics function perceived within your organisation?
Where does Analytics function have the lead remit? Business Intelligence Customer Insights Base/Segment Management Customer Loyalty/Retention Digital Innovation / Strategy Customer Experience Pricing Proposition/Product… Risk/Portfolio Management 0% 10% 20% 30% 40% 50% 60% Why do only half the Analytics functions have the lead remit for Business Intelligence?
Where does the Analytics function sit within the organisation? All/most sits within risk Data analytics is not a big focus 3% 9% All/most sits in IT / tech 13% 37% All/most sits within the 14% marketing Across a variety of functions 24% Standalone data analytics function
How many people in your Data Analytics function? 60% 50% 40% 30% 20% 10% 0% 1-10 11-20 21-40 41-60 60-80 80+
Benefits & KPIs
Movement in salaries • Three quarters of respondents received a salary increase in LY • 1 in 5 analytics professional received an increase of 11%+ - at least 6 times the rate of inflation • Evenly spread across ALL Career levels verifying the anecdotal evidence that this is a candidate market where countering job offers is now a regular occurrence for analytics talent Director Manager Practitioner Support 30% 35% 40% 45% 50% 55% 60% 65% 70% 75% 80%
Key benefits being received • Unusually HALF of Support Contributory pension practitioners are receiving a Contributory Pension vs. 74% of Bonus Directors which is less surprising. Flexible hours • Flexible hours and bonuses are Healthcare most commonly given at Mobile phone Managerial level Share Options • As expected Multi-nationals are more generous with benefits Car allowance especially with Healthcare, Non contributory… Bonuses & Share Options 0% 20% 40% 60% 80%
Bonuses • Bonuses are most commonly given by Multi-nationals 72% vs. 36% for Irish owned companies • 2 individuals received a bonus of 100% of salary. • 4% receive less than 30% of salary with majority at less than 10%. 42% 25% 16% 11% 4% Up to 30% of 1-5% of salary Up to 20% of Up to 10% of No bonus salary (equivalent) salary salary
Annual leave entitlement 8% 46% 41% 35 - 39 Days 15 - 19 Days 30 - 34 Days 25 - 29 Days 20 - 24 Days
Are you measured on any of these KPIs? Not measured on these KPI’s Company or product/service revenue Company or product/service profit Customer satisfaction Sales volume Customer retention Conversion rates Customer acquisition Employee engagement Online Revenue IP Generation 0% 10% 20% 30% 40% 50% 60%
Engagement, security & future
Engagement levels • On a scale of 1-10, where 1 is least and 10 is highly engaged • ONLY 41% at highly engaged at 8+ • Support Level least engaged with 21% at 8+ • Director level most engaged with 52% at 8+ VERY low 21% 23% • Generally females less engaged than males Engagement • levels EMPLOYER BRANDING & REPUTATION CRITICAL 13% 12% 7% 6% 5% 4% 4% 4% 1 2 3 4 5 6 7 8 9 10
Would you recommend your employer to a friend? Yes 17% No 16% 67% I'm not sure Despite such low levels of engagement two thirds would still recommend their employer to a friend AND 77% feel Secure or Very Secure in their role
The Top 3 Factors that engage you personally beyond salary Meaningful role 60% at Support Flexible hours Level Career progression opportunities Great Projects to work on Great boss 75% at DirectorLevel Good location Great colleagues Ability to work remotely Great company vision Latest technology to work with Financial benefits -other than salary-… 33% at Support Access to on the job learning/further… Level Nice office environment Good training available Mentoring/coaching available 0% 5% 10% 15% 20% 25% 30% 35% 40% 45%
What type of Employment Contract are you on? Despite so many being in permanent employee the data 15% community are very open to Contracting & Consulting roles 82% 27% have contracted in the past Permanent Fixed term contract Contracting / Interim manager Consulting
The Talent Time Bomb… How long do you expect to remain in your current company? • MAJORITY at 64%,see themselves staying where they are for less than 2 yrs • SUPPORT level – 80% will remain for less than 2 yrs and 43% for less than 1 yr • MANAGER level – 41% will remain for less than 1 year • DIRECT level – only 29% see themselves staying for 3+ years Total 20% 17% 27% 9% 27% Director 10% 14% 38% 10% 29% Manager 24% 17% 20% 10% 29% Practitioner 19% 19% 26% 9% 28% Support 20% 13% 47% 7% 13% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 0 - 6 mths 6 mths - 1 Year 1- 2 Years 2-3 Years 3+ Years
Where do you see your future career? Total Female Male 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% In data / analytics In digital marketing In commercial/business strategy In general management In consulting/contracting Setting up my own business
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