HR Data Analyst

Equiti is a pioneering fintech firm and world-class provider of multi-asset fintech products - from liquidity solutions to in-house tech hubs to online trading platforms. With over 400 global specialists in 9 languages, Equiti provides clients with access to individual, professional, and institutional brokerage services in Europe, the Middle East, and Africa.

At Equiti, we believe that financial opportunities can unlock potential for everyone, everywhere. We’re on a mission to deliver accessible online trading products around the world through education and accessibility.

Think finance is stuffy? Think again.

"At Equiti, we’re building fintech with a purpose: making wealth tools accessible to everyone. As we continue to grow, we’re seeking talented individuals who thrive in innovative environments. , and we are on the lookout for talented individuals who can perform and excel in a dynamic and innovative working environment. Our
Data department
would like to welcome a detail-oriented.

Senior BI Analyst
in our office in
Yerevan, Armenia

Responsibilities

• Design and develop Power BI reports, dashboards and supporting datasets on certified gold semantic models
• Migrate legacy reports onto the gold model and automate recurring manual reporting (including end-of-quarter finance outputs), retiring untrusted or duplicated reports
• Enhance, maintain and adapt data models to changing business and operational requirements, in line with the Group’s modelling and DAX standards
• Build and deliver capabilities that enable business self-service around reporting, analytics and dashboarding
• Validate outputs rigorously against certified definitions; troubleshoot and correct issues in existing reports
• Apply AI-assisted development in daily work - LLM-assisted DAX, M and SQL, Copilot in Power BI, and automated data-quality and reconciliation checks - while owning the accuracy of what ships
• Tune performance of models and reports (query folding, incremental refresh, aggregations)
• Provide technical consultation to business partners across global offices and document what you build
• Contribute improvements to the BI team’s ways of working - documentation, reusable patterns, quality checks - and implement them
• Support a repeatable onboarding pattern as new Group entities adopt the shared BI platform

Skills & Competencies

• Strong command of the Microsoft Power BI stack, with advanced DAX for data shaping and modelling and strong Power Query / M skills
• Data visualization craft and command of best practices for executive and operational audiences
• Rigorous validation habits - you treat reconciliation against certified definitions as part of the build, not an afterthought
• Clear communication with non-technical stakeholders across time zones
• Comfort using AI coding and analysis assistants productively and critically
• Self-starter who can take a designed pattern and deliver volume against it with high quality

Experience Requirements

• 4+ years of commercial experience in BI development or analytics, with substantial hands-on Power BI delivery
• Data modelling experience with Tabular models; advanced DAX in production reports
• Strong MS SQL Server / T-SQL experience; SSIS or modern pipeline tooling (e.g. Azure Data Factory / Fabric pipelines) is a plus
• Experience migrating or consolidating legacy reporting estates is a strong advantage
• Performance troubleshooting and tuning of Power BI models and reports
• Exposure to Microsoft Fabric, Power BI deployment pipelines, or streaming datasets is a plus
• Bachelor’s degree in computer science, information systems or a related field, or compensating experience

Perks

Each of our offices has its special perks; be it ‘no ties’, free lunches, charity events, or a hybrid work policy – but whenever you walk into an Equiti office, you’re sure to see a friendly face. We encourage international collaborations and always keep our eyes open to how we can do more.

The benefits you can expect at your Equiti workplace include:

• Competitive salary package
• Performance-based bonus
• Medical insurance coverage for employees and family members
• Smart working options
• Employee wellness initiatives
• Personalized career development
• Company lunch in the office
• Regular company events

With energy, drive, and imagination, there’s no limit to where your career can go at Equiti. With a diverse workforce and geographical spread of offices, we strongly support career development initiatives as well as provide a range of opportunities for professional and life experiences.

Equiti is an equal opportunity employer.

“Equiti” refers to a group of companies consisting of seven regulated financial services companies licensed to operate in the respective jurisdictions of their incorporation, in addition to our tech and marketing hubs. Equiti has presence in Africa, Europe, and the Middle East.

The company is building an AI video security platform that doesn't just record — it understands. Founded in 2021, backed by tier-one Silicon Valley investors, and one of the fastest-growing companies in the video security space ($64M raised, 50k+ cameras deployed). Small teams, real ownership, direct impact.

The
Senior Software Engineer, Edge
joins a small, high-impact team building the software layer that runs on companies core device infrastructure. The system is a hybrid edge-cloud architecture spanning video, security, networking, storage, and on-device AI. Resource-constrained, performance-critical, real-time. You'll own how well the software behaves under load — CPU, memory, concurrency — on a dedicated machine where every cycle counts.

Responsibilities:

• Contribute to the core edge platform running across diverse hardware in a hybrid edge-cloud architecture
• Develop and integrate video management capabilities: streaming, recording, real-time AI processing
• Design and optimize for low-latency, high-performance workloads at the edge
• Build secure, efficient communication pipelines between edge devices and cloud systems
• Work with AI/ML engineers to deploy and optimize on-device models
• Own performance under load — profile CPU/memory, identify bottlenecks, fix them
• Participate in code reviews, debugging, and performance tuning across the stack

Requirements:

Must-Have Skills:

• Go / Rust / TypeScript (20%) — core stack; strong proficiency in at least one, ideally two
• Multithreaded & concurrent programming (18%) — critical requirement; proven experience with real parallel systems
• Performance profiling & optimization (15%) — CPU/memory management under real production load on dedicated hardware
• Docker & containerization (13%) — deploying and managing containerized workloads
• Edge computing / embedded systems (13%) — experience building for resource-constrained environments
• Networking & distributed systems (12%) — solid fundamentals; building reliable comms between edge and cloud
• Real-time systems (9%) — low-latency design and delivery

Nice-to-Have Skills:

• Video streaming / pipeline development
• Storage systems & data management at the edge
• Cloud services integration (AWS S3, GCP, MQTT, Kafka)
• AI/ML model deployment on edge devices
• Security concepts (encryption, secure communication, zero trust)

About Wirestock

Wirestock is one of the leading data platforms for ethically sourced multimodal data. We serve some of the world’s top AI labs, including several foundation models, by providing high-quality, fully licensed training datasets. As the AI data landscape undergoes a major shift, we are scaling rapidly to meet rising demand for curated visual data.

About the Role

As a Data Analyst on Wirestock’s Data Platform team, you will work at the core of our product and operational infrastructure. You’ll be responsible for analyzing large-scale datasets, creating dashboards, and generating insights to support internal teams, including product, content operations, partnerships, and executive leadership. This role involves working with modern analytics tools to transform raw data into actionable intelligence and help build a more structured, scalable data ecosystem.

Key Responsibilities

• Analyze complex datasets to extract insights that inform product and operational decisions
• Build, maintain, and optimize dashboards and data visualizations for internal stakeholders
• Collaborate with product, engineering, and content teams to understand data needs and design reporting solutions
• Identify patterns and trends to improve data quality, detect anomalies, and flag potential issues
• Assist in designing and improving data pipelines and processes for reporting and analytics
• Support the definition and tracking of key performance indicators across various business functions

Requirements

• SQL skills and experience working with relational databases
• Proficiency in data visualization and BI tools (Metabase, Tableau, Looker, etc.) is a plus
• Familiarity with data analysis in Python or other scripting languages is a plus
• Solid understanding of data structures, statistics, and basic analytical methods
• Excellent communication and presentation skills-able to explain complex data insights to non-technical teams
• High attention to detail and commitment to data accuracy
• Experience working with large datasets and building scalable reporting solutions is a plus
• Previous experience in a data platform or data infrastructure environment is preferred

What We Offer

• A collaborative environment where quality and engineering excellence are top priorities
• The chance to work on products with real impact on a global creative community
• Competitive salary and equity options
• 50 work-from-home days annually
• A fast-growing company with a flat structure and strong team culture

MWDN is a global IT outstaffing company with 23+ years of experience that connects exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. We offer opportunities to work on international products in a stable and professional environment.

Why does MWDN rock?:

Here’s what you can expect when you join MWDN:

• Security: We carefully vet our clients to minimize risks and ensure reliability and timely payments - no fraud or unpleasant surprises.
• Career support: If a project isn’t the right fit, we support you and actively help find new opportunities that match your skills and career goals.
• Legal assistance: We provide guidance on legal matters, including opening and managing your independent contractor or sole proprietorship status, taxes, and related processes.
• Professional development: We offer English courses and professional growth opportunities, as well as team-building events.

Why choose us? MWDN is ranked among the top 5 IT employers in our region according to DOU. We take pride in our transparency and strong commitment to our team. Curious to learn more? See what our employees say about working with us on DOU.

What is your new project?:

Domain: AdTech / Data Infrastructure & Business Intelligence

Client Location: United States

Company Size: 11–50

Founded: 2018

What makes this project exciting?:

We're looking for a Senior Data Engineer to build and scale the data infrastructure that powers our business intelligence platform. You'll work with massive volumes of ad server data, CRM data, and a variety of ancillary data sources to power real-time analytics by designing, maintaining, and enhancing pipelines that process billions of events.

This role sits at the intersection of ad-tech domain expertise and modern data engineering. You'll build systems that ingest data from SSPs, DSPs, ad servers, and various other data sources, transform it into actionable insights, and power dashboards that help our internal and external customers optimize campaigns, manage workflows, and drive efficiency and growth for everyone.

What Makes You a Great Fit

• 5+ years of professional data engineering experience
• 2+ years working with programmatic advertising and ad-tech data (GAM)
• Strong proficiency in Python and SQL
• Hands-on experience with data warehouses (BigQuery, Snowflake, Redshift, ClickHouse)
• Experience with batch processing frameworks (Spark, dbt, Airflow)
• Understanding of ad-tech data structures: bid requests, impressions, OpenRTB schemas, log-level data
• Experience with cloud platforms (AWS, GCP) and infrastructure-as-code
• Ability to work partial US work hours (available until 2pm ET)

Ad-Tech Data Experience
Data Sources (Familiarity Required):

• SSP reporting APIs and log-level data (Magnite, PubMatic, Index Exchange, Xandr)
• Google Ad Manager (GAM) reporting, Data Transfer files, and BigQuery exports

Data Models & Metrics

• Revenue metrics: CPM, eCPM, RPM, fill rate, win rate, bid density
• Auction analytics: bid landscape, floor optimization, timeout analysis
• Demand partner performance: SSP/bidder scoring, latency analysis, viewability metrics, reach/frequency, IVT
• Supply chain data: ads.txt validation, sellers.json mapping, SPO analysis

Technical Stack

• Languages: Python, SQL, Scala (nice to have)
• Processing: Apache Spark, dbt, Apache Flink
• Warehouses: BigQuery, Snowflake, ClickHouse, Redshift
• Orchestration: Airflow, Dagster, Prefect
• Storage: S3, GCS, Delta Lake, Parquet
• Infrastructure: AWS, GCP, Terraform, Kubernetes

Nice to Have

• Experience with ML feature engineering for bid optimization or yield prediction
• Background in building data products for publisher-side monetization
• Familiarity with privacy-preserving data techniques (differential privacy, clean rooms)
• Experience with CTV/OTT advertising data and video ad metrics
• Knowledge of identity resolution and cross-device data challenges

Your Day-to-day In This Position

• Design and build and enhance scalable data pipelines for processing data from a variety of ad server and ancillary data sources
• Ingest and normalize data from multiple SSPs, DSPs, ad servers (GAM), and third-party reporting APIs
• Develop ETL/ELT workflows to transform raw data into analytics-ready datasets
• Create data models for campaign performance optimization, supply analysis, supply allocations, and profit maximization
• Build and maintain data warehouses and lakes optimized for ad-tech query patterns
• Implement data quality monitoring, validation, and anomaly detection for data streams
• Support Executive, BI and analytics teams with clean, documented, and performant data infrastructure
• Ensure data privacy compliance (GDPR, CCPA) in data collection, storage, and processing

Why work with us?:

• People-first management with minimal bureaucracy
• A friendly company culture, proven by employees who choose to return
• Flexible working hours
• 29 days of PTO (18 working days per year pluse all national holidays)
• 10 paid recovery days
• Full financial and legal support for independent contractors
• Free English classes, with native speakers or Ukrainian teachers
• Dedicated HR support

Our Next Steps
✅ Intro call with a Recruiter — ✅ Introductory interview with the Client — ✅ Home assignment — ✅ Final client interview— ✅ Offer