Data Analyst

The Joblogic Story

Established in 1998, Joblogic is the UK’s #1 Field Service Management (FSM) software platform. We are a global business with offices in the UK, Pakistan, and Vietnam. Since our management buy-out in 2013, we have grown from ~£500K ARR to ~£35M+ ARR and expanded our team from 11 to 500+ people.

Recently, we secured a strategic growth investment from Vista Equity Partners — a global technology investor specialising in enterprise software. This investment includes over £100 million in new primary capital and will fuel our next phase of growth by accelerating our AI-first roadmap, expanding our platform into CAFM (Computer-Aided Facilities Management) capabilities, and supporting our expansion across Europe and beyond.

With Vista’s backing, we’re transforming from a successful UK business into a global scaling SaaS rocket ship, and we’d love for you to join us on our journey to £100M ARR across international markets.

Joblogic provides software to service contractors who install and maintain the built environment. Our platform helps businesses streamline operations, improve profitability, ensure compliance, and achieve rapid growth. With over 100,000 users across industries including HVAC, plumbing, electrical maintenance, facilities management, and building fabric maintenance, we are entering a new era of intelligent automation, predictive maintenance, and data-driven decision-making for service firms.

Role Overview:

We are looking for a Data Analyst with strong expertise in data warehousing, pipelines, APIs,

SQL, Python, and BI tools. The ideal candidate will transform data into actionable insights and

support business decision-making.

Key Responsibilities:

• Build, maintain, and optimize data pipelines and workflows

• Work with Azure-based data warehousing solutions to ensure clean and reliable data

• Integrate and extract data using APIs

• Write efficient and complex SQL queries for analysis

• Use Python for data processing, automation, and pipeline development

• Develop dashboards and reports using BI tools (e.g., Power BI)

• Collaborate with cross-functional teams to define data requirements

Requirements:

• 2–3 years of experience in data analytics or a similar role

• Strong expertise in SQL and Python

• Hands-on experience with Azure data services (e.g., Azure Data Factory, Synapse, etc.)

• Experience building and managing ETL/ELT pipelines

• Solid understanding of data warehousing concepts

• Experience working with APIs and data integration

• Proficiency in BI tools (Power BI preferred)

Nice to Have:

• Experience in SaaS or subscription-based business models

• Familiarity with data lakes and modern data architecture

What we offer?

• Professional Environment: A collaborative and dynamic workplace.

• Competitive Salary: Market-leading compensation.

• Comprehensive Benefits: Medical insurance (including family), OPD, provident fund.

• Work-Life Balance: Maximum 45 weekly hours (Monday-

Friday), 29 annual leaves, capped sick & compassionate leaves.

• Perks: gym facility, annual company trip, quarterly team activities.

Hiring Process:

• Initial Screening: HR screening call.

• First Interview: Team lead and line lead interview.

• Technical Assessment: In-house test.

• Final Interview: Interview with the manager.

Important Information:

• Location: Onsite job with offices in Thokar.

• Working Hours: 8:00-4:30 PM (UK Time), subject to change as per business requirement

Analytical & professional

• Excellent analytical, problem-solving and communication skills.
• Exceptional attention to detail and data accuracy.
• Ability to gather requirements and manage multiple priorities.
• Ownership mindset with minimal supervision.

Preferred skills

SaaS metrics — ARR, MRR, NRR, GRR, Churn, Expansion, ContractionNetSuite reportingPython for analysis & automationAzure · Microsoft Fabric · SnowflakeETL & data warehousingSalesforce · Dynamics 365 · Xero

Qualifications

Bachelor's degree in Computer Science, Data Science, Information Systems, Statistics, Mathematics, Finance, or a related field. Relevant Microsoft / Power BI certifications are desirable.