QA Automation Lead Engineer – Network Security & Blockchain/Web3.js

Job Profile 

Optiblack is a product growth firm that works with product leaders to drive revenue from data. Optiblack has worked with 50+ firms and created an impact of $300M+ USD

Optiblack is looking to add a product analyst that works with their clients on client engagement.

Job Descriptions

0. Monitoring

 Look at data from various sources daily to understand insights

 Identify areas of improvement

 Create the dashboards as per requirements

 Build tracking plan

1. Data Analysis

 Gather and analyze data from various sources to extract actionable insights.

 Use statistical techniques and data visualization to interpret trends and patterns.

 Identify opportunities for product improvements based on data analysis.

2. Product Performance Evaluation

 Monitor key product metrics and performance indicators.

 Conduct regular evaluations to assess product performance against goals and benchmarks.

 Identify areas of improvement and recommend strategies for optimization.

3. Market Research

 Conduct market research to understand industry trends, customer needs, and competitive landscape.

 Analyze market data and customer feedback to identify market opportunities.

 Provide insights on target market segments and potential customer segments.

4. User Experience Enhancement

 Collaborate with UX UI designers to improve the user experience of the product.

 Conduct user research, interviews, and usability testing to gather feedback on product usability and satisfaction.

 Recommend enhancements and features to improve user experience.

5. Requirement Gathering

 Collaborate with stakeholders to gather and document product requirements.

 Conduct interviews, workshops, and surveys to understand user and business needs.

 Translate requirements into clear and actionable user stories or product specifications.

6. A/B Testing

 Plan, execute, and analyze A/B Tests to evaluate the impact of changes or new features.

 Use data from A/B tests to make data-driven decisions and optimize the product.

7. Reporting and Presentation

 Prepare reports and presentations to communicate insights, findings, and recommendations.

 Present data analysis and product performance evaluations to stakeholders and cross-functional teams.

 Clearly articulate complex concepts in a concise and understandable manner.

Skills Required for a Product Analyst

1. Technical Skills

 Data Analysis: Proficiency in using analytical tools and techniques to gather, analyze, and interpret data.

 Tools: Mixpanel or similar

 Market Research: Knowledge of market research methodologies, including data collection, analysis, and competitor analysis.

 Product Management Tools: Familiarity with product management tools such as Jira, Trello, or Asana to manage product backlogs, roadmaps, and user stories.

 User Experience (UX) Design: Understanding of UX principles and the ability to work closely with designers to enhance the user experience of the product.

 A/B Testing: Experience in planning, executing, and analyzing A/B tests to measure the impact of product changes.

 SQL and Database Knowledge: Proficiency in SQL to extract and analyze data from databases.

2. Workplace Skills

 Communication: Strong verbal and written communication skills to effectively collaborate with stakeholders, present findings, and document requirements.

 Problem-Solving: Ability to identify problems, gather relevant information, and propose practical solutions to improve product performance and user experience.

 Critical Thinking: Capacity to think analytically, assess situations, and make data-driven decisions.

 Stakeholder Management: Skill in managing relationships with stakeholders, understanding their needs, and balancing competing priorities.

 Teamwork and Collaboration: Ability to work collaboratively with cross-functional teams, including product managers, designers, developers, and marketers.

 Adaptability: Flexibility to navigate in a dynamic and fast-paced work environment, adjusting priorities as needed.

 Attention to Detail: Strong attention to detail to ensure accuracy and precision in data analysis, documentation, and requirement gathering.

• Building interactive consumer data from multiple systems and RESTfully abstracting to the UI through a Node.js backend
• Define code architecture decisions to support a high-performance and scalable product with a minimal footprint
• Address and improve any technical issues
• Collaborate well with engineers, researchers, and data implementation specialists to design and create advanced, elegant and efficient systems

• Experience in integrating with various SDKs like Swift
• Significant experience working with react native along with tools like Flux, Flow, Redux, etc.
• In-depth knowledge of JavaScript, CSS, HTML, functional programming, and front-end languages
• Strong knowledge of React fundamentals such as Virtual DOM, component lifecycle, and component state
• A complete understanding of the full mobile app development lifecycle right from prototyping
• Knowledge of type checking, unit testing, typescript, prop types, and code debugging
• Experience working with REST APIs, document request models, offline storage, and third-party libraries
• Strong understanding of web technologies like JavaScript, HTML, and CSS
• Knowledge of user interface design and responsive designs
• Well-versed in a variety of React Native software and technologies such as Jest, Enzyme, ESLint, and so on
• Understanding of React Native best principles and design aesthetics
• A positive mindset and continuous-learning attitude
• A collaborative approach to building apps and solving complex problems
• Attention to detail and problem-solving skills
• Client-focused approach to create user-centric designs
• Good interpersonal and collaboration skills
• Ability to write clean, well-documented code that follows good coding practices
• Good in Agile development process.
• Excellent English verbal and communication skills.
• Should be able to handle the customer individually as needed
• Support the customer as and when required

Job Title: HR Data Analyst  

Reports To: HR Business Partner

Duties

• Collect and compile HR metrics and data from the global HR team using internal SharePoint site as well as Excel files from local HRIS systems
• Analyze data on a monthly, quarterly, and annual basis regarding recruitment and attrition
• Prepare data reports using Excel and Power Point
• Ensure data integrity by identifying issues and fixing errors either in SharePoint or local HRIS system
• Track recruitment costs on a regional and global basis
• Work closely with Finance team to monitor global recruitment budget costs and new hire/attrition pipeline
• Lead HR data projects, such as data review/audit and mass data changes
• Assist HR team with various data projects, as requested

Required Skills

• Intermediate Microsoft Office skills, including Excel, Power Point and Word
• Strong attention to detail
• Excellent verbal and written communication skills
• Ability to build strong working relationships across different locations and departments
• Strong analytics and problem solving – able to identify anomalies in data and follow up to find an explanation as to why
• Must maintain confidentiality
• Familiarity with Power BI is preferred

Experience

• 8 to 12 years’ experience with data analysis, either in the finance, accounting or HR field
• Bachelor’s degree in any field is preferred

• Research and develop statistical learning models for data analysis
• Collaborate with product management and engineering departments to understand company needs and devise possible solutions
• Keep up-to-date with latest technology trends
• Communicate results and ideas to key decision makers
• Implement new statistical or other mathematical methodologies as needed for specific models or analysis
• Optimize joint development efforts through appropriate database use and project design

Qualifications/Requirements:

• Masters or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
• 3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning models
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Good team worker with excellent communication skills written, verbal and presentation

Desired Experience:

• Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
• Knowledge and experience with NLP technology
• Previous work in a start-up environment

Essential Skills:

• MS BizTalk
• Good Experience in Mapping, Orchestration, Deployments.
• Good to have experience in System Support (Operations)
• Knowledge on different Adapters/Configurations

Preferred Skills:

• Development Experience or Knowledge on MS Azure – Logic Apps, Functions, Service Bus, Storage.
• BizTalk 360
• C# or any Programming language basics
• Azure DevOps (CI/CD)