Βασικό
Senior Data Analyst
Δημοσιεύτηκε: 20.05.2026
Καταληκτική ημερομηνία: 04.07.2026
Αναφορά εργασίας: 24f3d6f04d7397b745baafc19bbd8b6e
Πληροφορίες εργασίας
Τοποθεσία
Cape Town, Western Cape, South Africa
Εταιρεία
Bitrecruit
Πελάτης / Εργοδότης
Occupop
Αναφορά εργασίας
24f3d6f04d7397b745baafc19bbd8b6e
Τύπος καταχώρησης
Βασικό
Απαιτείται άδεια εργασίας της ΕΕ
Όχι
Δημοσιεύτηκε
20.05.2026
Καταληκτική ημερομηνία
04.07.2026
Περιγραφή καθηκόντων
Job Title: Senior Data Analyst Location: Hybrid / Remote (Somerset, South Africa) Join one of the fastest growing cybersecurity innovators protecting organisations worldwide. Our ML and AI integrations are reshaping how businesses defend themselves against constantly evolving threats, and we're looking for a Senior Data Analyst with a passion for impact, accuracy, and automation to help us push performance of our solutions to the next level. This is a role where your work directly influences product decisions, customer trust, and real world security outcomes. If you're motivated by solving complex problems, collaborating across disciplines, and shaping measurable improvements, you'll thrive here. Your Responsibilities: Analyse large datasets of product telemetry data to provide insights that drive improvements in our ML and AI solutions as well as guide product development and business decisions. Create and maintain intuitive self-service dashboards, reports and visualisations to communicate insights to technical and non-technical stakeholders. Identify data quality issues, collection gaps, and opportunities for new data sources that could improve model performance or dashboard utility. Prepare structured product performance summaries for cross functional retention and product improvement meetings. Your Story: We'd love to hear from you if you bring: 6+ years of handson experience in data analysis, ideally within cyber security, detection data, or threat telemetry environments. Hands-on experience in data analysis using SQL, Python or R. With a track record of deriving actionable insights from complex datasets. Experience generating and maintaining dashboards, specifically using Streamlit (python), Shiny (R), or similar code-based dashboarding tools. Experience performing comprehensive Exploratory Data Analysis (EDA) to identify trends, patterns, and anomalies in complex datasets. Having worked with an ML team in this capacity is a strong plus. A strong SQL background, with the ability to write complex queries to extract and manipulate data efficiently. Experience with data warehousing solutions (e.g., Snowflake) is a plus. A talent for interpreting complex issues and communicating them clearly to technical and nontechnical stakeholders. Experience performing experiments to validate hypotheses. Using machine learning/ statistical analysis where necessary is a plus. Comfort operating within cross functional engineering, product, or customer environments. It's a bonus (not a requirement) if you also have: Experience with BI tools (Snowflake, Looker, Tableau). Knowledge of phishing behaviours and attacker evasion techniques. Exposure to security tooling in the IT channel or MSSP ecosystem. If you don't meet every requirement but feel excited by the role and confident in your ability to grow, we genuinely encourage you to apply. What Success Looks Like: Your impact will be visible and measurable: Improved model performances and increased customer satisfaction through data driven insights. Faster, more accurate analysis of emerging threats and attack patterns. High quality, timely reporting that strengthens customer retention Actionable intelligence adopted by product and engineering Operational efficiency gains through automation and streamlined processes Why You'll Love Working Here: A culture that values balance, flexibility, and belonging High impact work where your insights directly strengthen our AI driven detection engine Collaborative teams who genuinely value diverse thinking and inclusive problem-solving Opportunities for growth across data, machine learning, and threat analytics The chance to shape industry leading protection in a rapidly evolving landscape Celebrate Your Benefits with Us! Enjoy 20 days paid Holiday 2 CARE Days - Give Back and Get Your Birthday Off as a Thank You! Private Medical - Caring for You Inside and Out Collaborative and Supportive Work Environment Recognition for Your Contributions Opportunities for Professional/Personal Growth Career Advancement in Our Dynamic and Innovative Company Find out more about our Private Equity Investors and why working for a PE company is game changing. Bregal Milestone - Inspired by ambition. Driven by growth As CyberSentriq embarks on its journey as a new company, we are excited to announce our MSP-first approach, AI-driven capabilities, and the integration of TitanHQ and Redstor. Our strategic goals are aligned with our vision to become a high-growth, innovative cybersecurity platform targeting $100M ARR by 2028. CyberSentriq is committed to providing cutting-edge cybersecurity solutions that empower Managed Service Providers (MSPs) to deliver exceptional services to their clients. With our AI-driven capabilities, we aim to enhance threat detection, response, and prevention, ensuring the highest level of security for businesses of all sizes. The integration of TitanHQ and Redstor into our platform further strengthens our offerings, providing comprehensive protection against cyber threats and data loss. This collaboration enables us to deliver a unified solution that addresses the evolving needs of the cybersecurity landscape. Join us in our mission to revolutionise the cybersecurity industry and achieve our ambitious growth targets. *Please note that we do not accept speculative CVs from recruitment agencies. All submissions must be in response to specific job vacancies listed by our company. Any unsolicited CVs will be considered the property of CyberSentriq, and no fees will be payable in relation to them.
Δεξιότητες
analyse big data
apply statistical analysis techniques
Business Analytics
Business Intelligence
cloud technologies
collect ICT data
create data models
Data Engineering
data ethics
Data Mining
Data Models
data quality assessment
Data Science
data storage
data visualisation software
Database
define data quality criteria
deliver visual presentation of data
digital data processing
documentation types
establish data processes
execute analytical mathematical calculations
Game Theory
gather data for forensic purposes
Hadoop
handle data samples
Healthcare Analytics
image recognition
implement data quality processes
Information Architecture
information categorisation
information confidentiality
Information Extraction
information structure
integrate ICT data
interpret current data
LDAP
LINQ
make data-driven decisions
manage cloud data and storage
manage data
manage data collection systems
manage quantitative data
Marketing Analytics
MDX
multidisciplinary research
N1QL
normalise data
online analytical processing
perform data cleansing
perform data mining
query languages
report analysis results
Research Design
resource description framework query language
Social Network Analysis
SPARQL
statistical modeling techniques
Statistics
store digital data and systems
Unstructured Data
use data processing techniques
use databases
use spreadsheets software
visual presentation techniques
Web Analytics
XQuery