InsulaLabs

We are looking for a Senior Data Engineer. This is not a standard ETL role. You will work on a high-load system processing 10,000+ executions per minute, building scalable pipelines where AI and LLM logic are embedded directly into production data flows.

The role combines data engineering, backend thinking, infrastructure ownership, and real production AI integration.

What you will do:

• Design and maintain scalable data pipelines in Python on Google Cloud Platform
• Build and optimize AI-driven scoring flows using LLMs for real-time identity enrichment
• Work with BigQuery, Apache Spark, and Apache Iceberg for heavy data processing
• Maintain high-load orchestration with custom Python nodes and complex workflows
• Own deployment and release processes (CI/CD)
• Optimize PostgreSQL performance under heavy load
• Investigate incidents and resolve root causes permanently

• Use AI engineering tools such as Claude in daily development

   

Requirements:

• 4+ years of experience in Data Engineering / Backend Engineering
• Strong Python skills
• Commercial experience with production LLM integration (OpenAI / Anthropic / Gemini)
• Strong knowledge of GCP (Cloud Functions, IAM, Networking)
• Experience with BigQuery, Spark, Iceberg
• Good understanding of Kubernetes
• Experience with workflow orchestration tools (n8n is a strong plus)
• Strong practical knowledge of PostgreSQL

• English level B2+

   

What is important for us:

• Ownership mindset
• Fast learning ability
• Strong problem-solving approach
• Active AI usage in engineering work
• Focus on practical results over unnecessary complexity

We’re looking for an experienced Senior HTML/Markup Developer to join our development team! You’ll work alongside a highly skilled group on an exciting Gambling project.

✅ Requirements:

✔️ 4+ years of professional experience as an HTML/Markup developer

✔️ Excellent knowledge of HTML5, CSS3

✔️ Strong understanding of UI/UX principles and cross-browser compatibility

✔️ Deep knowledge of CSS layout systems: Flexbox, Grid and related properties

✔️ Strong skills in CSS / JS animations

✔️ Experience with CSS Pre-Processors: Sass / Less

✔️ Understanding of page loading and rendering pipeline (rendering, repaint, reflow, composite layers, etc.)

✔️ Knowledge of modern responsive images techniques, including nuances of retina displays

✔️ Understanding of CSS specificity and ability to manage complex styles

✔️ Experience working with BEM methodology

✔️ Understanding of web performance optimization

✔️ Knowledge of Core Web Vitals, PageSpeed metrics and hands-on experience improving them

✔️ Experience with Figma / Sketch / Photoshop

✔️ English level: Intermediate or higher

➕ Nice to Have:

✔️ Understanding of front-end build tools (Gulp, Webpack, etc.)

✔️ Knowledge of HTML email templates

✔️ Experience working with CSS frameworks

✔️ Experience with template engines (Pug, Handlebars, etc.)

✔️ Experience with Canvas API / WebGL / ThreeJS / GSAP

✔️ Knowledge of Vanilla JavaScript

✔️ Experience with markup integration for Angular or other JS frameworks

🔧 Duties & Opportunities:

✔️ Develop efficient, fast and adaptive UI layouts

✔️ Collaborate closely with developers and designers to improve product quality

✔️ Introduce ideas, propose solutions and optimize existing applications

🎁 We Offer:

✔️ Full-Remote work

🏝 18 vacation days per year

🎁 Birthday celebration present

🧑🏻‍💻 Learning & development opportunities

🚀 Interesting and challenging tasks

🔍 Hiring Stages:

1. Recruiter interview

2. Technical interview

    

🏢 About the Customer:

A company specializing in software development and digital solutions has created 40+ innovative products across 20 industries. With a team of 670+ professionals, they deliver scalable, client-oriented solutions and foster a positive environment focused on personal and professional growth.

We are looking for an Integration Team Lead to own the architecture and reliability of our advertising platform integrations while leading a small engineering team and driving the integration roadmap. In this role, you will design and scale data pipelines that process large volumes of advertising data, ensure stable data synchronization across external marketing platforms, and lead new integration initiatives from API evaluation to production rollout. You will play a key role in shaping the platform’s integration strategy, mentoring engineers, and building scalable, AI-enabled integration solutions that power our core data infrastructure.

Requirements
- 5+ years in backend/data engineering, including 2+ years working with advertising/marketing APIs.
- Hands-on experience with Meta Marketing API and/or LinkedIn Marketing API: real work with rate limits, async reports, breakdowns, attribution windows.
- Strong Python skills: production-grade code with error handling, logging, and tests.
- Experience leading a team (2+ people): code reviews, task planning, growing engineers.
- Solid understanding of data pipeline patterns: idempotency, backfill, incremental sync, schema evolution.
- Experience with GCP or comparable cloud (AWS/Azure) at the service design level.

- Actively use AI-assisted development tools (e.g., Copilot, Cursor, Claude Code) in daily engineering workflows for code generation, debugging, documentation, and data pipeline design, applying sound engineering judgment when validating AI-generated outputs.

Nice to Have
- Knowledge of the Programmatic ecosystem: DV360, The Trade Desk, OpenRTB.
- Experience with BigQuery and/or ClickHouse.
- Pulumi / Terraform for IaC.
- Understanding of advertising metrics: impressions, clicks, conversions, ROAS, attribution models.

Responsibilities
- Own the architecture and evolution of all platform integrations: Meta Marketing API, LinkedIn Marketing API, Programmatic channels (DV360, The Trade Desk, etc.).
- Lead a team of 2-4 engineers: code reviews, sprint planning, mentorship.
- Design and maintain data pipelines: Ad Platform APIs to BigQuery/ClickHouse via Cloud Run Jobs and n8n workflows.
- Ensure data sync reliability: monitoring, alerting, error handling, retry strategies.
- Work with API rate limits, OAuth flows, and webhooks across advertising platforms - Drive new integration projects from API evaluation through production rollout. 
- Collaborate with the product team to prioritize the integration roadmap.

What We Offer

- Fully remote with flexible hours (aligned with EU timezones for syncs).
- Influence on the quality assurance strategy across the entire engineering department.
- A cross-team role with visibility into every part of the product.
- AI-first tooling.
- Claude Code licenses and cutting-edge AI development workflows. 
- A team with no bureaucracy, decisions are made fast.

We’re looking for an experienced Senior HTML/Markup developer to join our development team!  You'll have the opportunity to work alongside a highly skilled group on an exciting Gambling project.

✅ Requirements:
✔️ 5+ years of professional experience as an HTML-coder
✔️ Excellent knowledge of HTML, CSS
✔️ Good understanding of UI/UX design and cross-browser layout
✔️ Strong knowledge in CSS/JS animation
✔️ Experience working with CSS Pre-Processors: Sass/Less
✔️ Understanding of web application performance optimization
✔️ Experience with Figma / Sketch / Photoshop
✔️ At least Intermediate lvl of English

✅ Nice to Have:
✔️ Understanding of front-end build tools (Gulp, Webpack, etc)
✔️ Knowledge of HTML email templates
✔️ Experience working with CSS frameworks
✔️ Experience working with template engines (pug, Handlebars, etc)
✔️ Experience with Canvas API / WebGL / ThreeJS / GSAP

✅Duties and opportunities
✔️ Develop the efficient, fast and adaptive layout of interfaces
✔️ Collaborate with developers and web designers to improve product
✔️ Introduce ideas, solutions and optimise existing applications

✅ We offer:
✔️  Full-Remote work;
🏝  18 vacation days per year;
🎁 Birthday celebration present;
🧑🏻‍💻Learning and development opportunities and interesting challenging tasks;

Hiring Stages:
1. Recruiter interview.
2. Technical interview.

✅ About customer:
A company specializing in software development and digital solutions has created over 40 innovative products across 20 different industries. Their team of approximately 670 highly skilled professionals successfully delivers scalable projects tailored to meet individual client needs. The organization also focuses on fostering a positive work environment that promotes personal and professional growth for its employees.

🚀 Join us!

InsulaLabs is an international IT company that helps product and technology businesses scale their engineering teams and launch service solutions through outstaffing and outsourcing models.

We are currently transitioning from a classic staff augmentation approach to a more mature solution and delivery model. This transformation is why we are strengthening the company’s technical core.

We are looking for a Technical Delivery Lead — a hands-on technical leader who will take ownership of technical expertise, validation, presales, and delivery quality.

This is not a theoretical role and not pure management.
It is a role for an expert, validator, and result-driven leader.
 

Responsibilities:

• Validate candidates and engineers
• Conduct and oversee technical interviews
• Participate in performance reviews (technical evaluation)
• Create and support Personal Development Plans (PDPs)
• Assess real-world performance of engineers at client projects
• Participate in technical presales
• Estimate scope, timelines, and required resources
• Support Sales in setting realistic client expectations
• Maintain strong business impact awareness
• Lead technical project kick-offs after deal closure
• Maintain a delivery risk radar and ensure alignment with agreements
• Identify risks early and proactively
• Control delivery quality across teams and partners
   

Requirements

• 8+ years in IT 
• Background as Tech Lead, Engineering Manager, or Technical Delivery Lead
• Broad technical expertise (Frontend, Backend, QA, DevOps)
• Presale and estimation experience
• Strong systems thinking
• Ability to translate technical decisions into business language
• Ownership mindset and results orientation
• English proficiency: C1
   

What We Offer

• Fully remote work format
• Direct collaboration with Executives and key clients
• Influence on company strategy and growth through 2026
• Competitive compensation (discussed individually)
• Opportunity to evolve into Head of Technical Delivery or CTO
   

Why This Role Matters

You will build the technical foundation of Insula Labs, not just maintain processes. This role has real impact on business results, delivery quality, company reputation, and long-term growth.

We’re looking for an experienced Senior Graphic Designer to join our

development team! You’ll work alongside a highly skilled group

on an exciting Gambling project.

 Requirements:

- 5+ years of professional experience in creative studio teams,

preferably in branded graphic illustrations and visual solutions.

- Experience in photo retouching, photography, AI-generated

images, typography, vector graphics, and logo design.

- Ability to scale a brand’s graphic concept into a comprehensive

library of promotional materials.

- Strong proficiency in Figma and Photoshop; excellent skills in

retouching and color correction are required.

- Knowledge of basic UI principles and stages of the product

design process; experience collaborating with product design

teams.

- Experience creating and managing graphic asset libraries and

style guides.
 

 Responsibilities:

- Create high-quality promotional designs aligned with the

visual concept, using various Adobe, AI, and 3D tools. 

- Review graphic materials to ensure they meet quality standards

and align with the visual concept

Hey! 👋

We’re looking for a skilled Business Analyst to join our dynamic team on an exciting Gambling project!

We are a young and ambitious outstaffing company that builds strong, dedicated teams for long-term collaboration with international clients. We value talent, responsibility, and a growth mindset.
 

🟢 Full Remote
🕘 Working hours: 9:00–18:00
 

What you'll be doing:

• Manage Product Backlog: Prioritize and organize tasks to align with key business objectives.
• Effective Communication: Act as a bridge between development teams and stakeholders, ensuring clarity in decisions and strategies.
• Handle Change Requests: Collect, prioritize, and add operational changes to the product backlog for future sprints.
• Define Acceptance Criteria: Set clear goals for features, validate them with stakeholders, and ensure they are met during QA.
• Conduct Gap Analysis: Identify areas for improvement by comparing current and target business states.
• Support Change Management: Assist in implementing change plans, provide training, and ensure smooth process transitions.
• Gather Requirements: Ensure all functional and non-functional requirements align with the Product Manager's expectations.
• Verify Requirements: Confirm that requirements meet stakeholder needs and are fit for purpose.
   

What we’re looking for:

• 2–3 years of experience as a BA or Product Manager in web development
• Solid understanding of product development architecture, Scrum, and Agile methodologies
• Knowledge of UX principles and product backlog management
• Bonus: Coding and design skills are a plus!
• English level: B2
   

What we offer:

✅ Fully remote work
🏝 18 vacation days per year
🎁 Birthday gifts
📚 Opportunities for learning and growth through challenging tasks
 

🚀 Ready to join us? Apply now!

We are looking for a Marketing / Commercial Data Scientist to build the intelligence layer of our Session Analyzer product — including scoring systems, segmentation, recommendation models, and causal measurement frameworks for pharmaceutical marketing teams.

This role sits at the intersection of behavioral data, machine learning, and marketing analytics. You will work end-to-end: from raw event data → feature engineering → modeling → production pipelines → business insights.
 

You’ll collaborate closely with Product and Tech Leads to turn complex behavioral signals into actionable commercial intelligence.

🛠 Requirements

• 5+ years in Data Science / Analytics
• Experience building production ML systems
• Strong ownership of end-to-end data science workflows
   

Technical Skills

• Python, SQL, PostgreSQL
• GCP / BigQuery /ClickHouse
• Data pipelines & feature engineering
• Experience with LLM-based agents / AI workflows
• Event-level / session analytics
• Aggregation modeling
• Propensity / engagement modeling
• Segmentation
• Recommendation systems
• Model evaluation & monitoring
• Experience in AdTech / MarTech / Marketing Analytics
• Marketing attribution & measurement
• Behavioral / clickstream / pixel data
   

🧠 What You’ll Work On

🔹 Behavioral & Scoring Models

• Build propensity and engagement models (e.g., prescribing likelihood, rep response, content affinity)
• Develop switch / churn-style models and brand adoption predictions
• Design segmentation frameworks based on behavioral and profile data
   

🔹 Recommendation & Personalization

• Build recommendation systems using session and event-level data
• Model multi-channel engagement and content affinity
   

🔹 Causal Inference & Attribution

• Design and implement marketing attribution models
• Apply causal inference techniques (uplift modeling, incrementality testing, treatment/control analysis)
• Connect marketing exposure → downstream outcomes
   

🔹 Data & Feature Engineering

• Build feature pipelines from event/session data (clicks, scroll depth, dwell time, downloads, video plays)
• Create aggregated feature tables and scoring datasets
• Work with high-volume data systems (e.g., ClickHouse, BigQuery)
   

🔹 Production & Data Quality

• Deploy and maintain production ML pipelines
• Implement data validation, monitoring, anomaly detection, and drift tracking
   

🔹 AI & Insight Automation

• Build LLM-powered workflows for:
  • Automated insight generation
  • Data diagnostics
  • Structured analytical outputs (e.g., JSON)
     

🎯 What Success Looks Like

• You build reliable scoring systems used in production
• Your models drive measurable marketing impact
• You translate behavioral data into clear, actionable insights
• You help evolve the system toward real-time intelligence & automation
   

🧪 Interview Process

• Screening Interview
• Technical Interview
• Bar Raiser

Role summary
We are looking for a Senior Data Scientist to build the core intelligence layer of our Session Analyzer product: scoring, audience segmentation, and prescriptive recommendations for pharmaceutical marketing teams. You will operate as a “full-stack” data scientist across data validation, data engineering (prod pipelines), ML modeling, causal measurement, and AI-assisted workflows (agents for insights and data diagnostics). You will work directly with the Product Lead and Tech Lead.
 

What you will do

• Design and ship scoring, segmentation, and recommendation features based on pixel session/event data, NPI-enriched profiles, and 3rd-party datasets.
• Build a data quality & validation framework from scratch: tests, monitors, anomaly detection, drift tracking, and root-cause workflows across the data chain.
• Deliver batch PoC (days latency) and evolve to near-real-time MVP (hours latency) pipelines and feature tables.
• Develop and evaluate ML models for engagement prediction and audience targeting; ensure calibration, stability, and business-relevant lift.
• Define and implement measurement/attribution approaches to support ROI uplift and explain “what worked / why”.
• Build AI agents for (1) automated data issue diagnostics and (2) insight/presentation generation, with guardrails and traceability.
• Produce outputs as score tables, top insights, aggregates/features, dashboards/reports, and APIs for audience activation and CDP/CRM integrations.

Success metrics

• Improved Engagement score
• Measurable uplift in campaign ROI
• Reduced time-to-insight
• Increased share of HCPs with actionable recommendations
• Improved coverage/quality signals (e.g., NPI resolve rate progress, event capture reliability)

Requirements (must-have)

• 5+ years in Data Science / Analytics roles with production ownership.
• Strong Python + SQL; hands-on building production pipelines and data products.
• Experience with event/session analytics, aggregation modeling, and working with noisy web/pixel data.
• Proven ability to build propensity/engagement models, segmentation, and recommendation logic; strong evaluation practices.
• Working knowledge of causal inference / attribution methods for marketing effectiveness.
• Experience with GCP / BigQuery in production; familiarity with ClickHouse/Postgres is a plus.
• Ability to operate end-to-end: problem framing → data validation → modeling → deployment → monitoring → stakeholder comms.
• Hands-on experience building and operating data-driven marketing/advertising analytics products, including event-level measurement, audience segmentation, activation workflows, and performance attribution (AdTech/MarTech environments).

Nice-to-have

• Experience with agents (LLM-based workflows), automated insights, and safe deployment patterns.
• Familiarity with data quality tooling (e.g., Great Expectations/dbt tests) and observability.

Soft skills & values (required)
Openness

• Direct feedback, acknowledges mistakes, listens and acts on critique.

Internal Locus

• Takes responsibility for outcomes, analyzes own decisions first, learns quickly from failures.

Get it done

• Delivers end-to-end, removes blockers independently, completes work to production-grade finish.

Self-improvement

• Continuously adopts new tools (incl. AI), improves workflows, increases productivity without heavy training overhead.

Ownership

• Treats the product and system results as their responsibility, not just personal tasks/KPIs; minimizes need for micromanagement.

The Role

We are looking for a Senior Data Engineer.

This is not a standard ETL role. We are building a dynamic data ecosystem where AI is deeply integrated—both as a productivity multiplier and as a core component of our data processing logic for identity data enrichment and data scoring.

You will own the infrastructure that handles over 10,000 executions per minute, ensuring stability, scalability, and data integrity. You will work with a modern stack on Google Cloud Platform, utilizing Cloud Functions and Kubernetes.

We are looking for an engineer who improves infrastructure, automates everything, and is eager to implement LLM-based logic directly into high-load data flows.

Responsibilities

• AI-Driven Data Scoring: Design and implement pipelines that utilize LLMs to analyze and score identity data in real-time. You will integrate AI models directly into the decision-making loop, balancing accuracy with latency and cost.
• Own the Data Architecture: Architect scalable data solutions using GCP and Python. You will manage data storage and retrieval using BigQuery and Apache Iceberg to support querying of TBs of data.
• Heavy Data Processing: Utilize Apache Spark for data transformations and batch processing when lightweight cloud functions are not enough.
• Manage High-Load Orchestration: Maintain and optimize our system instances. It involves complex dataflows, custom Python nodes, and performance tuning for 10k+ execs/minute.
• Release Lifecycle (CI/CD): Take ownership of the deployment process, ensuring that updates to pipelines and infrastructure are released safely with proper testing and rollback strategies.
• Database Optimization: Manage PostgreSQL performance under heavy load, optimizing complex queries and indexing strategies.
• Active AI Usage: Use Claude Code and other AI engineering tools to accelerate your own development, refactoring, and testing processes.
• Incident Resolution: Proactively monitor the system. When alerts fire, you investigate the root cause—whether it’s a database lock or an LLM hallucination—and fix it permanently.

Requirements

• 4-5+ years of experience in Data Engineering or Backend Engineering with a strong data focus.
• Production AI Integration: Experience integrating LLMs (OpenAI, Anthropic, Gemini) into production applications via API. You understand latency, token limits, and how to structure data for AI scoring.
• Expertise in GCP: Understanding of Google Cloud Platform (Cloud Functions, IAM, Networking).
• Strong Python: You write clean, efficient, and testable code. You are comfortable building custom logic where standard tools fall short.
• Big Data Stack: Experience with BigQuery, Apache Spark, and modern table formats like Apache Iceberg.
• Kubernetes (K8s): Experience deploying and scaling services in containerized environments.
• Workflow Automation: Understanding of workflow orchestration tools at a deep technical level. N8N is a big part of our domain, so familiarity with it is highly valuable.
• PostgreSQL Mastery: Proven ability to handle heavy write/read loads and optimize schemas.
• English: B2+ (Upper-Intermediate) or higher.

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If a scoring model drifts or a pipeline slows down, you notice it and fix it without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If an external API fails, you build a fallback mechanism instead of just blaming the provider.
• Get It Done: You prioritize shipping value. You know when to use a simple script and when to build a complex architecture.

Openness: You share knowledge freely. If you find a better way to prompt the AI for scoring, you share it with the team.

We are seeking a Senior Product Manager to lead.

This role is critical to our platform's expansion and optimization, working directly with company leadership to drive product roadmap decisions while managing a specialized technical team responsible for building and maintaining integrations with major advertising platforms.

Key Responsibilities

• Collect and translate business requirements from company ownership into actionable product specifications
• Define and execute product strategy for ad network integrations and channel expansion
• Drive cross-functional collaboration between engineering, data science, and business development teams
• Lead and mentor a specialized integration team of engineers and QA professionals
• Set team priorities, manage sprint planning, and ensure delivery excellence
• Foster a culture of innovation and technical excellence within the integration team

Product Development Priorities

Primary Focus:

• Automate existing channel integrations to enable seamless two-way data synchronization
• Optimize current integrations for improved data accuracy and real-time reporting capabilities
• Streamline integration processes to reduce manual intervention and improve scalability

Secondary Focus:

• Identify and prioritize new high-value advertising channels for integration
• Lead technical evaluation and implementation of new platform partnerships
• Expand market reach through strategic channel additions

Technical Oversight

• Define technical requirements and API specifications for channel integrations
• Create comprehensive product documentation and visual schematics for integration architectures
• Ensure data integrity and compliance standards across all integrated platforms
• Drive automation initiatives to improve operational efficiency and reduce time-to-market for new integrations

Required Qualifications

• 5+ years of product management experience in adtech, programmatic advertising, or related fields
• Deep, hands-on understanding of major advertising networks including:
• Paid social media platforms (Facebook, LinkedIn, Twitter, TikTok, etc.)
• API integrations and data synchronization protocols
• Experience with marketing automation platforms and attribution modeling
• AI-first mentality, strong interest in the emerging technologies, willingness to learn, adapt, and use AI tools to build portotypes, monitoring tools, and otherwise use them to aid both your and the teams' goals.
• Proven track record managing technical teams and complex integration projects
• Strong analytical skills with experience in data-driven product decisions
• Understanding of advertising technology ecosystem and data flow
• Experience with API integrations, webhooks, and real-time data processing
• Familiarity with advertising platform APIs and their capabilities/limitations
• Knowledge of data privacy regulations and compliance requirements
• Excellent stakeholder management and communication skills
• Experience translating business requirements into technical specifications
• Strong project management skills with ability to manage multiple concurrent initiatives
• Collaborative leadership style with proven ability to influence cross-functional teams

Nice to Have:

• Deep understanding of programmatic advertising channels (DSPs, SSPs, ad exchanges)
• Experience in pharmaceutical, healthcare, or highly regulated industry marketing
• Understanding of healthcare professional targeting and compliance considerations
• Familiarity with NPI data and healthcare professional identification systems
• Background in automation technologies and AI agent development/implementation
• Experience building or managing intelligent automation workflows and AI-driven processes

Hey! 👋

We’re looking for a skilled Project Manager to join our dynamic team on an exciting Gambling project!

We are a young and ambitious outstaffing company that builds strong, dedicated teams for long-term collaboration with international clients. We value talent, responsibility, and a growth mindset.
 

🟢 Full Remote
🕘 Working hours: 9:00–18:00
 

Requirements:

✔️At least 3 years of experience in IT

✔️Experience in iGaming

✔️Excellent knowledge of Agile methodologies, Scrum & Kanban frameworks is a must

✔️Knowledge of Software Development Life Cycle (SDLC)

✔️Managing team experience

✔️Knowledge of Jira, Confluence

✔️Advanced verbal communication skills

✔️Knowledge of time management

✔️Be a decision maker and possess problem-solving skills

✔️Proven ability to work at multiple tasks at a time, meet deadlines, prioritize tasks

✔️Upper-Intermediate spoken and written English
 

Could be a plus

✔️PMP, PSM or the equivalent certificates
 

Daily and Monthly Responsibilities

✔️Managing, monitoring, and forecasting project execution

✔️Time and efforts tracking, regular status reporting

✔️Development team coordination

✔️Project risk management

✔️Maintaining project documentation

What we offer:

✅ Fully remote work
🏝 18 vacation days per year
🎁 Birthday gifts
📚 Opportunities for learning and growth through challenging tasks
 

🚀 Ready to join us? Apply now!

We are looking for a Business Analyst. Their primary responsibility is to analyse and evaluate various aspects of a business to identify problems, opportunities, and solutions.

✅ Responsibility:

✔️ Manage Product Backlog: Formulating the list of backlog items and prioritising them as per the critical business objectives.

✔️ Provide effective communication to the stakeholders of the project: The BAis the central communicator between the development team and the stakeholders.

✔️ They need to be clear and concise communicators to ensure there is approval of the stakeholders for all major decisions and strategies.

✔️ Create and Maintain Change Requests Associated with the Product: Predominantly an Operational task. The BA will gather and prioritise operational changes and include them within the Product Backlog for future sprint iteration.

✔️ Define Acceptance Criteria for their Product: The BA must know what they want their product features to achieve.Having strongly defined acceptance criteria is vital to ensure

✔️ that the Product performs to the expected standard. A/C's should always be confirmed with Stakeholders and will be used as a baseline for QA to test against.

✔️ Gap Analysis: By comparing the current state of a business to the desired future state, The BA may identify gaps or areas for improvement. This helps in defining project objectives and goals.

✔️ Change Management: The BA will help manage and support the changes brought about by their or BRO recommendations. This can involve developing change management plans, conducting training sessions, and ensuring a smooth transition to new processes or systems.

✔️ Gather Functional and non Functional Requirements: The BA will ensure that all requirements are gathered and that they meet the Product Managers expectations.

✔️ Verify Requirements: Once the requirements, functional and non functional, have been gathered from the Stakeholder the BA will confirm and agree that the requirements are fit for purpose and use.

✅ Requirements:

✔️ 2-3 years of experience BA/Product Manager

✔️ experience with web dev

✔️ Product development architecture

✔️ Scrum and Agile development methodologies

✔️ User experience principles

✔️ Product backlog management

✔️ Coding and designing (nice to have)

Analytical Skills

Ability to analyse various issues and find workable solutions as quickly as possible. Identify, collect and analyse information, use reason to solve complex problems and make decisions based on logical conclusions.

Decision Making

Use technical, analytical and communications skills to make crucial decisions regarding their products success and development. After identifying an issue you must be able to collect and collate all relevant information, find ways of dealing with it, decide on the best option and implement/evaluate the results.

Social Package

📝 Official employment

🏝18 days of vacation

💊 Medical Insurance

🧑🏻‍💻Equipment for work

We are looking for a business analyst. Their primary responsibility is to analyse and evaluate various aspects of a business to identify problems, opportunities, and solutions.

 Responsibility:

•  Manage Product Backlog: Formulating the list of backlog items and prioritising them as per the critical business objectives.
•  Provide effective communication to the stakeholders of the project: The BAis the central communicator between the development team and the stakeholders.
•  They need to be clear and concise communicators to ensure there is approval of the stakeholders for all major decisions and strategies.
•  Create and Maintain Change Requests Associated with the Product: Predominantly an Operational task. The BA will gather and prioritise operational changes and include them within the Product Backlog for future sprint iteration.
•  Define Acceptance Criteria for their Product: The BA must know what they want their product features to achieve.Having strongly defined acceptance criteria is vital to ensure
•  that the Product performs to the expected standard. A/C's should always be confirmed with Stakeholders and will be used as a baseline for QA to test against.
•  Gap Analysis: By comparing the current state of a business to the desired future state, The BA may identify gaps or areas for improvement. This helps in defining project objectives and goals.
•  Change Management: The BA will help manage and support the changes brought about by their or BRO recommendations. This can involve developing change management plans, conducting training sessions, and ensuring a smooth transition to new processes or systems.
•  Gather Functional and non Functional Requirements: The BA will ensure that all requirements are gathered and that they meet the Product Managers expectations.
•  Verify Requirements: Once the requirements, functional and non functional, have been gathered from the Stakeholder the BA will confirm and agree that the requirements are fit for purpose and use.

 Requirements:

•  2-3 years of experience BA
•  experience with web dev
•  Product development architecture
•  Scrum and Agile development methodologies
•  User experience principles
•  Product backlog management
•  Coding and designing (nice to have)

Analytical Skills
Ability to analyse various issues and find workable solutions as quickly as possible. Identify, collect and analyse information, use reason to solve complex problems and make decisions based on logical conclusions.

Decision Making
Use technical, analytical and communications skills to make crucial decisions regarding their products success and development. After identifying an issue you must be able to collect and collate all relevant information, find ways of dealing with it, decide on the best option and implement/evaluate the results.

Social Package

•  Official employment
• 18 days of vacation
•  Medical Insurance
• Equipment for work