Data Engineer

• Key Skills / Keywords

  E-commerce website, E learning Application,

  
  

  Good in creating:

  Functional specification document

  Use Cases

  Data flow diagrams
  
  Salary

  Salary is not a constrain

  Job Description / Responsibilities

  Understanding requirements and creation of scope of work document

  Efficient in work ethics and discipline

  
  

  • Validate project viability 

  • Discuss the brief with the client and define SMART objectives 

  • Ask for requirements, budget, deadline & milestones 

  • Discuss the project with Delivery Leads 

  • Provide a ballpark estimate & timeline 

  • Share and discuss with the client 

  • Get Client approval on ballpark budget, timeline & requirements

  • Create a project tracker spreadsheet 

  • Timelines

  • Milestones and Deliverables

  • Create an activity tracker for the project 

  • Setup meeting with team members (Design, Development, Testing and Support)

  • Project Understanding to team

  • User Journey

  • Functionality

  • Verify requirements and get more clarity 

  • Risk Identification 

  • Review 

  • Client Meeting after meeting with the team to validate requirements and get more clarity

  • Update document

  • Change request and approval or parking of the new requirement

  • Risk mitigation strategy

  • Create a project communication plan

  • Identify team members and send weekly update meetings to client

  • Constant communication with the client for clarity on the requirements or features

  • Create weekly status tracker

  • Daily Meeting internal 

  • Activity updates

  • Weekly Meeting with client

  • Take regular Project Updates

  Qualifications and Preferred Skills

  Good communication skills

  Good presentation skills

  Must Have

  FSD Creation, Discipline, Ecommerce experience

  Joining

  One month

Greetings from Analyttica Datalab. We are currently seeking an Analytics Manager to join our team!

If you are looking for a place to grow your skills and share our values this can be the right opportunity for you.

• Role: Analytics Manager
• Relevant Experience: 7-9 Years
• Type of Role: Full-Time
• Notice Period:1 Month or Less (Immediate Joiners-Preferred)
• Mandatory Skills: Data Analytics, Marketing Analytics, A/B Testing, SQL, Logistic Regression, Segmentation, Customer Analytics, Fintech, Python
• Work Location: Bangalore

About Us

We are fast growing technology enabled advanced analytics and data science start-up. We have clients in USA and India and those two geographies are our current market focus. We are developing

an Artificial Intelligence (AI) embedded data science and analytics product platform (patented in US) with a series of offerings to solve real world problems. We have a world-class team of in-house

technocrats, external consultants, SMEs, data scientists, and experienced business professionals driving the product journey.

What Can You Expect?

Along with the commercial aspects of the engagement (no bar for the right candidate), you can expect an agile environment, with progressive culture and state of the art workplace. You will be presented with a great learning opportunity, while interacting with people from diverse background with the depth and breadth of experiences. Our technical, SME, and business leadership team comprises of each professional with 15+ years of experience and strong credibility to their names.

What Role You Are Expected To Play?

As a Product Analytics Manager focused on growth, you’ll be responsible for guiding the Product Analytics feature and experimentation roadmap which may include but is not limited to go-to-market strategy for partnerships and application of analytics for optimizing the acquisition funnel strategy for our client. Specifically,

you will be responsible for driving higher originations by converting web and app visitors to long-term customers.

Roles and Responsibilities:

• Ability to work hands-on on the top prioritized and strategic initiatives to drive business outcomes.
• Lead and mentor a team of sr. analysts and analysts, fostering a culture of collaboration and data-driven decision-making.
• Work closely with US stakeholders and manage expectations on project delivery, team management and capacity management.
• Develop and implement measurement strategies across marketing and product initiatives, ensuring data accuracy and integrity.
• Conduct in-depth analyses of marketing and product performance, identifying key trends, opportunities, and areas for improvement.
• Design and execute A/B tests to optimize marketing campaigns and product features.
• Prior experience in lifecycle marketing and product cross-selling is preferred.
• Develop and maintain dashboards and reports to track key metrics and provide actionable insights to stakeholders.
• Collaborate closely with cross-functional teams (marketing, product, engineering) to understand business needs and translate data into actionable recommendations.
• Stay up to date on industry trends and best practices in analytics and data management.
• Own the delivery in-take, time management and prioritization of the tasks for your team, leveraging JIRA
• Prior experience working for a US based Fintech would be preferred.

Essential Experience and Qualification:

• Minimum 7 years of experience in marketing and/or product analytics.
• Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics). Master's degree is a plus.
• Proven expertise in SQL and data management.
• Hands-on experience with Python and advanced analytics techniques (e.g., regression analysis, classification techniques, predictive modeling).
• Hands-on experience with data visualization tools (e.g., Tableau, Looker).
• Hands-on exposure to Git & JIRA for project management.
• Strong understanding of A/B testing methodologies and statistical analysis.
• Excellent communication, presentation, and interpersonal skills.
• Ability to manage multiple projects and deadlines effectively.
• Coach and mentor team members on refining analytical approach, time management & prioritization.
• Prior experience working in a fast paced environment and working with US stakeholders

People & Culture

As a company, we believe in working hard and

letting our passion drive us to dream high and

achieve higher. We inspire innovation through

freedom of thought and creativity, and pursue

excellence while ensuring that our integrity

and ethical foundation remain strong.

Honesty, determination, and perseverance

form the core of our value system. Analyttica’s

versatile talent fulfils our value proposition by

taking on fresh challenges and delivering

solutions that blend skill and intuition (science

and art). Understanding the customer/partner

mindset helps us provide technology enabled

scientific solutions at scale for sustainable

business impact.

Industry

In this role, you will:

• Troubleshoot Complex / escalated network issues

• Participate in Major Incident Management conference calls and associated bridge-lines

• Work on tickets escalated from Tier 2 Support

• Work on incidents in accordance with Integrated Operations Manage Incident Process Configuring of network devices (on back of break fix)

• Work with Advanced technology functions (priority support) / Cisco TAC

• Work like an SME for the entire network infra of the bank suporting technologies like routing/switching/F5/Firewalls/Proxies.

• Mentor / train tier-1 / tier-2

• Open Change controls and emergency break-fix Change Records

• Engage Cisco (NOC and HTTS) Support

• Work on Sniffer/ Infinistream capture

• troubleshoot issues related to Firewalls/Load Balancers/Proxy appliances

• Work with vendors / vendor escalations (on complex issues)

• Functionally aligned to the manager and work closely

Desired Qualifications:

Must Have Banking experience

• 6+ years of network support experience in NOC Operations or similar environment.

• Excellent understanding on Routing & Switching concepts (RIP / OSPF / BGP)

• Ability to quickly analyze and troubleshoot data and voice network outages. Resolve Large admin/Enterprise issues for the bank.

• Extensive hands on experience in all Cisco Routers / Switches / Wireless devices; Cisco / Checkpoint Firewalls, F5 Load Balancers, IP subnetting, Layer 2-4 stack understanding, VoIP, QoS, MPLS, SDWAN

• Experience on Arista hardware is a plus.

• Excellent Customer Service Skills and communication skills.

• Ansible knowledge is a plus

• Mandatory - CCNA and (At least one CCNP Level Test Completed, CCNA Specialties, F5, MCSE)

BitClass, a VC funded startup in edtech, is looking for a React Native developer interested in building performant mobile apps on both the iOS and Android platforms. You will be responsible for architecting and building these applications, as well as coordinating with the teams responsible for other layers of the product infrastructure. Building a product is a highly collaborative effort, and as such, a strong team player with a commitment to perfection is required.

• Build pixel-perfect, buttery smooth UIs across both mobile platforms.
• Leverage native APIs for deep integrations with both platforms.
• Diagnose and fix bugs and performance bottlenecks for performance that feels native.
• Reach out to the open source community to encourage and help implement mission-critical software fixes—React Native moves fast and often breaks things.
• Maintain code and write automated tests to ensure the product is of the highest quality.
• Transition existing Android app to React Native.

• Firm grasp of the JavaScript language and its nuances, including ES6+ syntax
• Ability to write well-documented, clean Javascript code
• Rock solid at working with third-party dependencies and debugging dependency conflicts
• Familiarity with native build tools, like XCode, Gradle, Android Studio/IntelliJ
• Understanding of REST APIs, the document request model, and offline storage
• Experience with automated testing suites, like Jest or Mocha

 Review all job requirements and specifications required for deploying the solution into the production environment. 

 Perform various unit/tests as per the checklist on deployment steps with help of test cases and maintain documents for the same. 

 Work with Lead to resolve all issues within the required timeframe and inform for any delays. 

 Collaborate with the development team to review new programs for implementation activities and manage communication (if required) with different functions to resolve issues and assist implementation leads to manage production deployments. 

 Document all issues during the deployment phase and document all findings from logs/during actual deployment and share the analysis. 

 Review and maintain all technical and business documents.  Conduct and monitor software implementation lifecycle and assist/make appropriate customization to all software for clients as per the deployment/implementation guide 

 Train new members on product deployment, issues and identify all issues in processes and provide solutions for the same. 

 Ensure project tasks as appropriately updated in JIRA / ticket tool for in-progress/done and raise the issues. 

 Should take self-initiative to learn/understand the technologies i.e. Vertica SQL, Internal Data integration tool (Athena), Pulse Framework, Tableau. 

 Flexible to work during non-business hours in some exceptional cases (for a few days) required to meet the client time zones. 

Experience on Tools and Technologies preferred: 

ETL Tools: Talend or Informatica ,Abinitio,Datastage 

BI Tools: Tableau or Jaspersoft or Pentaho or Qlikview experience 

Database: Experience in Oracle or SS 

Methodology: Experience in SDLC and/or Agile Methodology

CommerceIQ is Hiring Data Scientist (3-5 yrs)

At CommerceIQ, we are building the world’s most sophisticated E-commerce Channel Optimization software to help brands leverage Machine Learning, Analytics and Automation to grow their E-commerce business on all channels, globally.

Using CommerceIQ as a single source of truth, customers have driven 40% increase in incremental sales, 20% improvement in profitability and 32% reduction in out of stock rates on Amazon.

What You’ll Be Doing

As a Senior Data Scientist, you will work closely with Engineering/Product/Operations teams to build state-of-the-art ML based solutions for B2B SaaS products. This entails not only leveraging advanced techniques for predictions, time-series forecasting, topic modelling, optimisation but deep understanding of business and product too.

• Apply excellent problem solving skills to deconstruct and formulate solutions from first-principles

• Work on data science roadmap and build the core engine of our flagship CommerceIQ product

• Collaborate with product and engineering to design product strategy, identify key metrics to drive and support with proof of concept

• Perform rapid prototyping of experimental solutions and develop robust, sustainable and scalable production systems

• Work with large scale ecommerce data of the biggest brands on amazon

• Apply out-of-the-box, advanced algorithms to complex problems in real-time systems

• Drive productization of techniques to be made available to a wide range of customers

• You would be working with and mentoring fellow team members on the owned charter

What we are looking for -

• Bachelor’s or Masters in Computer Science or Maths/Stats from a reputed college with 4+ years of experience in solving data science problems that have driven value to customers

• Good depth and breadth in machine learning (theory and practice), optimization methods, data mining, statistics and linear algebra. Experience in NLP would be an advantage

• Hands-on programming skills and ability to write modular and scalable code in Python/R. Knowledge of SQL is required

• Familiarity with distributed computing architecture like Spark, Map-Reduce paradigm and Hadoop will be an added advantage

• Strong spoken and written communication skills, able to explain complex ideas in a simple, intuitive manner, write/maintain good technical documentation on projects

• Experience with building ML data products in an engineering organization interfacing with other teams and departments to deliver impact

• We are looking for candidates who are curious and self-starters; obsess over customer problems to deliver maximum value to them.
• Data scientist, Machine Learning, data science, data analyst

Job Type: Full-time

Experience:

• Data Scientist: 3 years (Required)

Application Question:

• Looking for product based industry experience from tier 1 /tier 2 colleges (NIT ,BIT, IIT,IIIT, BITS, Strong Profiles)