Data Analyst

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with the teams to prioritize business and information needs
• Locate and define new process improvement opportunities

• Minimum 3 year of working experience as a Data Analyst or Business Data Analyst
• Technical expertise with data models, database design development, data mining, and segmentation techniques
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL, etc), programming (XML, JavaScript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.

Role : Senior Customer Scientist 

Experience : 6-8 Years 

Location : Chennai (Hybrid) 
 
 

Who are we? 
 
 

A young, fast-growing AI and big data company, with an ambitious vision to simplify the world’s choices. Our clients are top-tier enterprises in the banking, e-commerce and travel spaces. They use our core AI-based choice engine  maya.ai , to deliver personal digital experiences centered around taste. The  maya.ai  platform now touches over 125M customers globally. You’ll find Crayon Boxes in Chennai and Singapore. But you’ll find Crayons in every corner of the world. Especially where our client projects are – UAE, India, SE Asia and pretty soon the US. 
 
 

Life in the Crayon Box is a little chaotic, largely dynamic and keeps us on our toes! Crayons are a diverse and passionate bunch. Challenges excite us. Our mission drives us. And good food, caffeine (for the most part) and youthful energy fuel us. Over the last year alone, Crayon has seen a growth rate of 3x, and we believe this is just the start. 
 

 
We’re looking for young and young-at-heart professionals with a relentless drive to help Crayon double its growth. Leaders, doers, innovators, dreamers, implementers and eccentric visionaries, we have a place for you all. 
 

Can you say “Yes, I have!” to the below? 
 
 

1. Experience with exploratory analysis, statistical analysis, and model development 
    

1. Knowledge of advanced analytics techniques, including Predictive Modelling (Logistic regression), segmentation, forecasting, data mining, and optimizations 
    

1. Knowledge of software packages such as SAS, R, Rapidminer for analytical modelling and data management. 
    

1. Strong experience in SQL/ Python/R working efficiently at scale with large data sets 
    

1. Experience in using Business Intelligence tools such as PowerBI, Tableau, Metabase for business applications 
    

Can you say “Yes, I will!” to the below? 
 
 

1. Drive clarity and solve ambiguous, challenging business problems using data-driven approaches. Propose and own data analysis (including modelling, coding, analytics) to drive business insight and facilitate decisions. 
    

1. Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimisation, and work with engineering to deploy those algorithms and create impact in production. 
    

1. Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess the relative impact and extract trends 
    

1. Coordinate individual teams to fulfil client requirements and manage deliverable 
    

1. Communicate and present complex concepts to business audiences 
    

1. Travel to client locations when necessary  

Crayon is an equal opportunity employer. Employment is based on a person's merit and qualifications and professional competences. Crayon does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, marital status, pregnancy or related.  
 
 

More about Crayon:  https://www.crayondata.com/   
 

More about  maya.ai :  https://maya.ai/   

About You

As a Senior Data Engineer part of the data team, you will be responsible for running the data systems and services that monitor and report on the end to end Data infrastructure. We are heavily dependent on Snowflake, Airflow, Fivetran, Looker for our business intelligence and embrace AWS as a key partner across our engineering teams. You will report directly in the Head of Data Engineering and work closely with our ML Engineering and Data science Team.

Some of the things you’ll be doing: 

• Integration of additional data sources into our Snowflake Data Warehouse using Fivetran or custom code
• Building infrastructure that helps our analysts to move faster, such as adding tests to our CI/CD systems
• Designing, developing, and implementing scalable, automated processes for data extraction, processing, and analysis
• Maintaining an accurate log of the technical documentation for the warehouse
• Troubleshooting and resolving technical issues as they arise
• Ensuring all servers and applications are patched and upgraded in a timely manner
• Looking for ways of improving both what and how services are delivered by the department
• Building data loading services for the purpose of importing data from numerous, disparate data sources, inclusive of APIs, logs, relational, and non-relational databases
• Working with the BI Developer to ensure that all data feeds are optimised and available at the required times. This can include Change Capture, Change Data Control and other “delta loading” approaches
• Discovering, transforming, testing, deploying and documenting data sources
• Applying, help defining, and championing data warehouse governance: data quality, testing, coding best practises, and peer review

What you’ll get in return:

• Competitive Salary
• Family & Self Health Insurance
• Life & Accidental Insurance
• 25 days annual leaves
• We invest in your development with professional L&D budget (fixed amount of 40,000 per year)
• Flexible working options
• Share Options

You’ll be a great fit if:

• You have 4+ years of experience in Data Engineering
• You have extensive development in Building ELT pipelines (Snowflake added advantage )
• You have experience in building data solutions, both batch processes and streaming applications
• You have extensive experience in designing , architecting and implementing best Data Engineering practices 
• You have good experience in Data Modelling 
• You have extensive experience in writing SQL statements and performance tuning them
• You have experience in data mining, data warehouse solutions, and ETL, and using databases in a business environment with large-scale, complex datasets
• You have experience architecting analytical databases
• You have experience working in a data engineering or data warehousing team
• You have high development standards, especially for code quality, code reviews, unit testing, continuous integration and deployment
• You have strong technical documentation skills and the ability to be clear and precise with business users
• You have business-level of English and good communication skills
• You have knowledge of various systems across the AWS platform and the role they play e.g. Lambda, DynamoDB, CloudFormation, Glue 
• You have experience with Git and Docker
• You have experience with with Snowflake, dbt, Apache Airflow, Python, Fivetran, AWS, git and Looker

 Who are Tide?

We’re the UK’s leading provider of smart current accounts for sole traders and small companies. We’re also on a mission to save business owners time and money on their banking and finance admin so they can get back to doing what they love - for too long, these customers have been under-served by the big banks.

Our offices are in London, UK, Sofia, Bulgaria and Hyderabad, India, where our teams are dedicated to our small business members, revolutionising business banking for SMEs. We are also the leading provider of UK SME business accounts and one of the fastest-growing fintechs in the UK.

We’re scaling at speed with a focus on hiring talented individuals with a growth mindset and ownership mentality, who are able to juggle multiple and sometimes changing priorities. Our values show our commitment to working as one team, working collaboratively to take action and deliver results. Member first, we are passionate about our members and put them first. We are data-driven, we make decisions, creating insight using data.

We’re also one of LinkedIn’s top 10 hottest UK companies to work for.

Here’s what we think about diversity and inclusion…

We build our services for all types of small business owners. We aim to be as diverse as our members so we hire people from a variety of backgrounds. We’re proud that our diversity not only reflects our multicultural society but that this breadth of experience makes us awesome at solving problems. Everyone here has a voice and you’ll be able to make a difference. If you share our values and want to help small businesses, you’ll make an amazing Tidean.

A note on the future of work at Tide:

Tide’s offices are beginning to open for Tideans to return on a voluntary basis. Timelines for reopening will be unique for each region and will be based on region-specific guidelines. The health and well-being of Tideans and candidates is our primary concern, therefore, for the foreseeable future, we have transitioned all interviews and onboarding to be conducted via Zoom.

Once offices are fully open, Tideans will be able to choose to work from the office or remotely, with the requirement that they visit the office or participate in face-to-face team activities several times per month.

Role Description:

• You will be part of the data delivery team and will have the opportunity to develop a deep understanding of the domain/function.
• You will design and drive the work plan for the optimization/automation and standardization of the processes incorporating best practices to achieve efficiency gains.
• You will run data engineering pipelines, link raw client data with data model, conduct data assessment, perform data quality checks, and transform data using ETL tools.
• You will perform data transformations, modeling, and validation activities, as well as configure applications to the client context. You will also develop scripts to validate, transform, and load raw data using programming languages such as Python and / or PySpark.
• In this role, you will determine database structural requirements by analyzing client operations, applications, and programming.
• You will develop cross-site relationships to enhance idea generation, and manage stakeholders.
• Lastly, you will collaborate with the team to support ongoing business processes by delivering high-quality end products on-time and perform quality checks wherever required.

• Ensure and own Data integrity across distributed systems.
• Extract, Transform and Load data from multiple systems for reporting into BI platform.
• Create Data Sets and Data models to build intelligence upon.
• Develop and own various integration tools and data points.
• Hands-on development and/or design within the project in order to maintain timelines.
• Work closely with the Project manager to deliver on business requirements OTIF (on time in full)
• Understand the cross-functional business data points thoroughly and be SPOC for all data-related queries.
• Work with both Web Analytics and Backend Data analytics.
• Support the rest of the BI team in generating reports and analysis
• Quickly learn and use Bespoke & third party SaaS reporting tools with little documentation.
• Assist in presenting demos and preparing materials for Leadership.

• Strong experience in Datawarehouse modeling techniques and SQL queries

• A good understanding of designing, developing, deploying, and maintaining Power BI report solutions
• Ability to create KPIs, visualizations, reports, and dashboards based on business requirement
• Knowledge and experience in prototyping, designing, and requirement analysis
• Be able to implement row-level security on data and understand application security layer models in Power BI
• Proficiency in making DAX queries in Power BI desktop.
• Expertise in using advanced level calculations on data sets
• Experience in the Fintech domain and stakeholder management.

• Collaborating with a team of like-minded and experienced engineers for Tier 1 customers, you will focus on data engineering on large complex data projects. Your work will have an impact on platforms that handle crores of customers and millions of transactions daily.

• As an engineer, you will use the latest cloud services to design and develop reusable core components and frameworks to modernise data integrations in a cloud first world and own those integrations end to end working closely with business units. You will design and build for efficiency, reliability, security and scalability. As a consultant, you will help drive a data engineering culture and advocate best practices.

• Should have good hands-on experience in Informatica MDM Customer 360, Data Integration(ETL) using PowerCenter, Data Quality.
• Must have strong skills in Data Analysis, Data Mapping for ETL processes, and Data Modeling.
• Experience with the SIF framework including real-time integration
• Should have experience in building C360 Insights using Informatica
• Should have good experience in creating performant design using Mapplets, Mappings, Workflows for Data Quality(cleansing), ETL.
• Should have experience in building different data warehouse architecture like Enterprise,
• Federated, and Multi-Tier architecture.
• Should have experience in configuring Informatica Data Director in reference to the Data
• Governance of users, IT Managers, and Data Stewards.
• Should have good knowledge in developing complex PL/SQL queries.
• Should have working experience on UNIX and shell scripting to run the Informatica workflows and to control the ETL flow.
• Should know about Informatica Server installation and knowledge on the Administration console.
• Working experience with Developer with Administration is added knowledge.
• Working experience in Amazon Web Services (AWS) is an added advantage. Particularly on AWS S3, Data pipeline, Lambda, Kinesis, DynamoDB, and EMR.
• Should be responsible for the creation of automated BI solutions, including requirements, design,development, testing, and deployment