Fi Crocker

Co-Founder

Sydney, New South Wales, Australia23 yrs 6 mos experience
Highly Stable

Key Highlights

  • Led global BI transformation saving $1.2M.
  • Unified analytics teams for self-service insights.
  • Drove $103M uplift in retail sales with Tableau.
Stackforce AI infers this person is a data and analytics leader in the SaaS industry.

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Skills

Core Skills

Data StrategiesLeadershipDescriptive Analysis

Other Skills

NegotiationEnterprise Data Warehouses (EDW)Data PrivacyChange ManagementData GovernanceProblem SolvingData MiningWeb AnalyticsDirect MarketingCampaign ManagementVendor ManagementMarket InsightsSASTableauSQL

About

Business leaders don’t need more dashboards. They need clarity, consistency, and confidence in their decisions. That’s where I come in. I’m a data and analytics leader with over 20 years’ experience delivering transformation across enterprise and global teams. My focus is helping organisations move from fragmented reporting to strategic, scalable insight delivery that actually gets used. At JLL, I led a global BI transformation that delivered $1.2M in savings and drove mass capability uplift through gamified learning. At CommSec, I unified four analytics teams, introduced Alteryx Server automation and data kiosks, and enabled business users to self-serve insights safely - accelerating time to insight, reducing risk, and freeing analysts to focus on strategic work. At Optus, I led a Tableau program that resulted in a $103M uplift in retail sales, with frontline teams finally able to act on performance insights. Today, I’m the co-founder of Dub Dub Data, a consultancy focused on helping leaders embed trusted, high-impact data cultures. We partner with clients to lift capability, accelerate adoption, and turn data into a strategic business asset. I oversee strategic direction, delivery frameworks, and executive advisory across every engagement to ensure we drive results that last. If you're a leader looking for practical, people-first data solutions - not just dashboards - let’s connect.

Experience

Dub dub data

Co-Founder

Jun 2024Present · 1 yr 9 mos

Jll

3 roles

Executive Director BI Strategy, Enablement & Technology

Aug 2023Jun 2024 · 10 mos

Data StrategiesNegotiation

Global Director BI Strategy & Enablement

Mar 2020Aug 2023 · 3 yrs 5 mos

LeadershipData StrategiesEnterprise Data Warehouses (EDW)NegotiationDescriptive AnalysisData Privacy+3

Senior Director BI Strategy

Oct 2018Mar 2020 · 1 yr 5 mos

Data StrategiesEnterprise Data Warehouses (EDW)NegotiationDescriptive AnalysisData PrivacyChange Management+2

Commsec

Executive Manager Customer Insights & Analytics

Apr 2017Oct 2018 · 1 yr 6 mos · Greater Sydney Area

Data StrategiesEnterprise Data Warehouses (EDW)NegotiationDescriptive AnalysisData PrivacyChange Management+2

Optus

Manager, Channel Insights and Performance

Jul 2013Mar 2017 · 3 yrs 8 mos

Data StrategiesEnterprise Data Warehouses (EDW)NegotiationDescriptive AnalysisChange ManagementData Governance+1

Boc

Market Insights Manager

May 2010Jul 2013 · 3 yrs 2 mos · North Ryde

  • Report to: GM Channels. Supervise: 2
  • ~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*
  • Scored first success by creating a solution that would eliminate system crashes. Ground-breaking results delivered four years of data on customer churn, revenue, and volumes.
  • Enriched team capabilities. Within three months of tailoring training and communications to individual learning styles, specialists with no experience in SAS programming were delivering complex campaigns and reports unsupervised. Kudos from leadership spurred confidence and engagement.
  • Complimented for delivering “the most comprehensive and easy-to-read documents submitted to date”. The Global FDS, were delivered to functional design specifications with an extreme deadline.
  • Reduced query time from 30 minutes to just two minutes and reduced risk of error after establishing a marketing datamart that enabled faster access to data and allowed greater time to ‘deep dive’ on analysis.
  • Produced a bound, 120-page book of analysis that significantly changed the way the business operated.
  • Developed briefing document that guided stakeholders through titles and examples to ensure correct information was captured.
  • Implemented a test, learn and refine model for campaigns including control groups for measuring response rates and making recommendations on whether campaigns should be closed, changed or continued.
  • Circumvented high-cost, low-return process to target new customers. Result: 200+ customers purchased gas again.
  • Combatted arduous task of assigning ‘smart recommendations’ to cross-sell products following implementation of the new CRM system. Composed program to calculate product combinations per SKU based on lift, support and confidence.
  • Cut churn report processing times from two weeks to fewer than 10 minutes.
Descriptive AnalysisData GovernanceProblem Solving

Vodafone hutchison australia

Solutions Analyst

Mar 2009Apr 2010 · 1 yr 1 mo

  • Challenged pre-conceived ideas with innovative recommendations.
  • Eliminated voluminous, confusing presentations and focused on key insights affecting campaigns.
  • Generated significant uplift in responses-versus-targets.
  • ~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*
  • Analysed campaign performances, collated research, extracted data from the data warehouse, and embedded pre- and post-campaign analytics and recommendations into persuasive PowerPoint presentations. Presented to key stakeholders.
  • Built predictive models that segmented customers into the Vodafone Group model, and predicted customers likely to churn or purchase an additional product or service. Models provided crucial information for refining campaigns and in segment reporting.
  • Generated a significant uplift in control-versus-target response to ensure Vodafone gained significant ROI from each customer contact. Managed SAS marketing optimisation process that identified the best direct campaign marketing to send to select customers based on models or events.
  • Challenged pre-conceived ideas with the question, “How do you define success?” following extensive analysis into how to limit churn. Included key recommendations from research to provide quantitative and qualitative recommendations for future campaigns.
  • Delivered pre-campaign analysis to help Vodafone target customers with the right message at the right time.
  • Produced deep-dive post campaign analyses complimented by all key stakeholders to General Manager level. Comparisons with work completed previously showed vast improvement in actionable recommendations.
  • Built and automated a customer lifecycle model for mobile telephone products. Program was well received and rolled out.
Descriptive AnalysisData GovernanceProblem Solving

Flexirent

Business Intelligence Manager

Apr 2006Sep 2008 · 2 yrs 5 mos

  • Winner, Marketer of the Year 2007 presented at the annual Sales and Marketing Conference.
  • Automated more than 200 separate reports saving hundreds of hours of manual processing.
  • Cut lead time for daily sales reports by 95%.
  • ~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*
  • Promoted to Business Intelligence Manager (from SAS Analyst Marketing) with a brief to implement the SAS Business Intelligence Suite, while training and managing two Marketing Analysts and focusing on channel reporting and direct marketing.
  • Spearheaded three ‘quick and easy’ process improvements with far-reaching effects on communications and work prioritisation.
  • Collaborated with international IT department to deliver an automated daily budget report that was embraced by the team and delivered gains in productivity.
  • Negotiated with vendor to receive free training and a reduction in consulting and licensing fees.
  • Won several STAR awards from peers.
  • Hired and mentored analysts to high level of competency through training, development planning, and KPI achievement coaching.
  • Trained Marketing Team on the use of Cognos Cubes.
  • Notable Projects:
  • Created an information model for capturing the business definitions of key sales metrics.
  • Shaped and presented presentation to the executive team advocating for the establishment of a competency centre. Provided evidence of potential cost savings through formalised approaches to accuracy, centralisation and standardisation.
  • Charter member of project team challenged to formulate a new product proving “Ownership is overrated”. Automated reports and tracked success of pilot across nine stores, identifying point of storewide rollout capability, training needs, and incentives.
  • Enriched and expedited the process for fixing code when new products were launched or dealers changed.
Descriptive AnalysisData GovernanceProblem Solving

Aapt

Campaign Analyst

Apr 2005Apr 2006 · 1 yr

  • Mastered SAS macro programming.
  • Cut lead-time for campaigns from five business days to two.
  • ~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~
  • Introduced macros into code that automated dates, provided inbuilt flexibility for adapting to new campaigns, and boosted personal productivity by employing loops to reduce duplicated procedures.
  • Established a post-implementation review report that provided insight to management by predicting campaign response rates using a moving average of previous campaigns.
  • Spearheaded the organisation’s first centralised wish lists, that allowed campaign exclusions for people who had opted out of direct marketing or required limited contact. Launched process improvement that consolidated all previous customer lists and recorded campaign codes for each contact.
  • Gained distinction as the first analyst to code a shell for re-using and changing rules without reinventing the wheel—an effective and simple process improvement that cut campaign lead times from five days to two.
  • Transformed time-consuming manual sales reports into a series of automated reports that reduced workloads and liberated staff to focus on other tasks.
  • Shared insights with the marketing team by championing the interest level of dial-up Internet service customers being wooed to broadband. Response rates on these campaigns were high, with minimal cost invested in dial-up giveaway promotion.
Descriptive AnalysisData GovernanceProblem Solving

Telecom mobile new zealand

Market Insight Analyst (SAS) Business

Jul 2004Apr 2005 · 9 mos · Wellington, NZ

  • Produced product analysis to forecast popular and profitable products in the annual marketing plan. Analysis consistently won praise for accuracy and industry insight.
  • ~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*
  • Recruited with a mission to analyse and compare competitor performances in partnership with the business reporting team. Analysed churn, communications, share of spend, customers, and brand preferences primarily in SAS with some programming in SQL.
  • Reduced time consuming data manipulation and processing procedures by harnessing the power of SQL to extract Oracle tables prior to manipulation in SAS. Consistently met deadlines for producing reports to marketing team.
  • Enriched marketing team’s understanding of customer preferences and need. Reviewed and combined qualitative market research and internal data warehouse data and presented findings in compelling PowerPoint presentations featuring points of interest, tables and graphical illustrations.
Descriptive AnalysisData GovernanceProblem Solving

Mobil oil

CICS Supervisor / Inventory Analyst

Jan 2002Jun 2004 · 2 yrs 5 mos · Wellington, NZ

  • Guaranteed environmental and legal compliance through analysis on losses and speed to react to issues.
  • ~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*
  • Successful project delivery, superior and consistent performance reviews, and comprehensive knowledge of operations, prompted promotion from Inventory Analyst to CICS Supervisor. Harnessed the power of the database to analyse trends, identify at-risk sites, and investigate potential for fraud and loss.
  • In just four weeks simplified the process of asset reconciliations required for equipment depreciations by consolidating six disparate equipment databases to two. Delivered two weeks short of the six-week deadline.
  • Presided over successful CICS upgrade testing contributing to seamless rollout.
  • Predicted source of fuel losses via evaporation, non-compliance with established procedures, or corrosion. Partnered with up to 250 site managers to launch checks designed to avert potential for money losses and minimise environmental impact.
  • Devised product loss investigation manual that detailed step-by-step the processes required for analysing and trending database information that shaped management decision making.
Descriptive AnalysisData GovernanceProblem Solving

Education

Massey University

Bachelor of Business Studies (Management)

Woodford House NZ

Awarded Bursary

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