Data AnalyticsWe are looking for a Senior Data Analyst who will support our product, sales, leadership, and marketing teams with data collection and organization of data in order to draw conclusions, make predictions, and drive informed decision making.
- The ideal candidate is adept at using large data sets to find opportunities for product and marketing optimization and using data models to test the effectiveness of different courses of action.
- Not just that, you also understand how to clean and organize data for complete analysis and calculations using spreadsheets, SQL Python, and R programming.
- Visualizing and presenting data findings in dashboards, presentations and commonly used visualization platforms must be your strength.
SKILLS YOU MUST HAVE:
- Data Cleansing, Data Analysis, Data Visualization (DataViz), SQL Questioning, Decision-Making, Problem Solving, Data Collection, Data Ethics, Sample Size Determination, Spreadsheet,
RESPONSIBILITIES:
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from company databases (GOOGLE ANALYTICS, User DB, and 3rd party Marketing Analytics tools) to drive optimization and improvement of product development, marketing techniques, and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Strong understanding of Google Analytics (GA) fundamentals and how to work with raw GA data
- Automate custom data fetching from Google Analytics dashboard to excel sheet and other primary and secondary sources
- Work with complex SQL queries
- Work with Big Query with GA integration to extract data
- Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
- Filter Data by reviewing reports and performance indicators to identify and correct code problems
- Developing and maintaining databases, data systems reorganizing data in a readable format
- Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction
- Assign a numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
- Develop company A/B testing framework and test model quality.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Understanding of statistical concepts like Statistical significance, t-test, and z-test for AB testing
- Performing analysis to assess quality and meaning of data
- Preparing reports for the management stating trends, patterns, and predictions using relevant data
- Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
- Robust understanding of Mix panel and Amplitude
Skill requirement:
- 6-8 years of experience in database management and a strong understanding of Google Analytics
- Strong mathematical skills to help collect, measure, organize, and analyze data
- Experience using statistical computer languages (R, Python, MATLAB, SQL, etc.) to manipulate data and draw insights from large data sets.
- Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
- Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
- Knowledge of data visualization software like Tableau
- Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
- Accuracy and attention to detail
- Adept at queries, advanced excel management, writing reports, and making presentations
- Team-working skills
- Verbal and Written communication skills
- Proven working experience in data analysis
Shubham Vishwakarma
Full Stack Developer - Averlon
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PythonWe’re hiring a remote, contract-based Backend & Infrastructure Engineer who can build and run production systems end-to-end.
You will build and scale high-throughput backend services in Golang and Python, operate ClickHouse-powered analytics at scale, manage Linux servers for maximum uptime, scalability, and reliability, and drive cost efficiency as a core engineering discipline across the entire stack.
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Backend Development (Golang & Python)
- Design and maintain high-throughput RESTful/gRPC APIs — primarily Golang, Python for tooling and supporting services
- Architect for horizontal scalability, fault tolerance, and low-latency at scale
- Implement caching (Redis/Memcached), rate limiting, efficient serialization, and CI/CD pipelines
Scalable Architecture & System Design
- Design and evolve distributed, resilient backend architecture that scales without proportional cost increase
- Make deliberate trade-offs (CAP, cost vs. performance) and design multi-region HA with automated failover
ClickHouse & Analytical Data Infrastructure
- Deploy, tune, and operate ClickHouse clusters for real-time analytics and high-cardinality OLAP workloads
- Design optimal table engines, partition strategies, materialized views, and query patterns
- Manage cluster scaling, replication, schema migrations, and upstream/downstream integrations
Cost Efficiency & Cost Optimization
- Own cost optimization end-to-end: right-sizing, reserved/spot capacity, storage tiering, query optimization, compression, batching
- Build cost dashboards, budgets, and alerts; drive a culture of cost-aware engineering
Linux Server Management & Infrastructure
- Administer and harden Linux servers (Ubuntu, Debian, CentOS/RHEL) — patching, security, SSH, firewalls
- Manage VPS/bare-metal provisioning, capacity planning, and containerized workloads (Docker, Kubernetes/Nomad)
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Data, Storage & Scheduling
- Optimize SQL schemas and queries (PostgreSQL, MySQL); manage data archival, cold storage, and lifecycle policies
- Build and maintain cron jobs, scheduled tasks, and batch processing systems
Uptime, Reliability & Observability
- Own system uptime: zero-downtime deployments, health checks, self-healing infra, SLOs/SLIs
- Build observability stacks (Prometheus, Grafana, Datadog, OpenTelemetry); structured logging, distributed tracing, alerting
- Drive incident response, root cause analysis, and post-mortems
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Must-Have (Critical)
- Deep proficiency in Golang (primary) and Python
- Proven ability to design and build scalable, distributed architectures
- Production experience deploying and operating ClickHouse at scale
- Track record of driving measurable cost efficiency and cost optimization
- 5+ years in backend engineering and infrastructure roles
Also Required
- Strong Linux server administration (Ubuntu, Debian, CentOS/RHEL) — comfortable living in the terminal
- Proven uptime and reliability track record across production infrastructure
- Strong SQL (PostgreSQL, MySQL); experience with high-throughput APIs (10K+ RPS)
- VPS/bare-metal provisioning, Docker, Kubernetes/Nomad, IaC (Terraform/Pulumi)
- Observability tooling (Prometheus, Grafana, Datadog, OpenTelemetry)
- Cron jobs, batch processing, data archival, cold storage management
- Networking fundamentals (DNS, TCP/IP, load balancing, TLS)
Nice to Have
- AWS, GCP, or other major cloud provider experience
- Message queues / event streaming (Kafka, RabbitMQ, SQS/SNS)
- Data pipelines (Airflow, dbt); FinOps practices
- Open-source contributions; compliance background (SOC 2, HIPAA, GDPR)
What We Offer
- Remote, contractual role
- Flexible time zones (overlap for standups + incident coverage)
- Competitive contract compensation + equity
- Long-term engagement opportunity based on performance
About Us:
Buildesk is a fast-growing PropTech company helping real estate developers and channel partners digitize their businesses with next-generation technology. Our platform offers an end-to-end solution including:
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- ERP for Procurement & Finance
- Channel Partner Management
- Vendor Management
- Customer & Broker Apps
We serve 400+ real estate businesses across 6 countries and empower 11,500+ daily active users.
Role Overview
We are looking for a proactive and detail-oriented HR Executive to manage end-to-end HR operations. The ideal candidate will handle recruitment, employee lifecycle management, HR operations, and internal coordination while ensuring smooth people processes and compliance.
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1. Recruitment & Onboarding
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- Bachelor’s degree in HR, Business Administration, or related field.
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- Proficiency in MS Office / Google Workspace.
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• Work with databases such as MongoDB, MySQL, or PostgreSQL
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Key Responsibilities • Lead the end-to-end CRM program lifecycle – from requirements gathering and solution design to deployment, integration, and stabilization. • Manage CRM solution implementation (e.g., Salesforce, Microsoft Dynamics, or equivalent) with a focus on banking use cases such as onboarding, KYC, customer 360, workflows, and service automation. • Ensure seamless integration with core banking, contact center, digital channels, and third-party applications. • Develop and maintain the project plan, budget, risk register, and governance framework. • Drive stakeholder alignment between business teams (Sales, Service, Compliance, Operations) and technology vendors. • Oversee data migration, quality, and governance for accurate customer 360 views. • Establish change management and training programs to drive user adoption. • Ensure delivery within agreed timelines, budget, and compliance requirements. • Provide regular reporting to steering committees and senior management.
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Writing Government Job, Private Jobs, and Career Advice Tips contents for websites in a given Format.
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Proofreading and editing blog posts before publication
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Have relevant skills and interests
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Content Writing Skills
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Knowledge of Google Keywords Planner or similar tools
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Knowledge of on-page and off-page SEO
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Impeccable spelling and grammar
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High comprehension of software like Microsoft Word and Google Docs
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Familiarity with keywords placement, conduct keywords research and use SEO guidelines to point
Machine Learning (ML)
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Analysing the ML algorithms that could be used to solve a given problem and ranking
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Exploring and visualizing data to gain an understanding of it, then identifying
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Verifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Defining validation strategies
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Defining data augmentation pipelines
Training models and tuning their hyper parameters
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Deploying models to production
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Full Stack Developer - Averlon