Data Analytics - Datorama

Job Title:
Data Analyst

Job Brief:
The successful candidate will turn data into information, information into insight and insight into business decisions.

Data Analyst Job Duties
Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance
and quality control plans to identify improvements.

About Us
We began in 2015 with an entrepreneurial vision to bring a digital change in the manufacturing landscape of India. With a team of 300+ we are working towards the digital transformation of business in the manufacturing industry across domains like Footwear, Apparel, Textile, Accessories etc. We are backed by investors such as
Info Edge (Naukri.com), Matrix Partners, Sequoia, Water Bridge Ventures and select Industry leaders.
Today, we have enabled 2000+ Manufacturers to digitize their distribution channel.

Responsibilities
● 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 management to prioritize business and information needs.
● Locate and define new process improvement opportunities.
Requirements
● Proven working experience as a Data Analyst or Business Data Analyst.
● Technical expertise regarding 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.
● Adept at queries, report writing and presenting findings.


Job Location
South Delhi, New Delhi

This person MUST have:
- BE Computer Science, MCA or equivalent
- Javascript AI library experience - there are many!
- A team player who can collaborate with engineers, designers, and other cross-functional
teams
- Ability to initiate and drive projects to completion with minimal guidance
- Fluent in and passionate about JavaScript
- Troubleshooting/debugging experience
- Strong communication skills

Experience:
- Min 1 year experience
- Not more than 7 year experience.
- Startup experience is a must.
Location ● Remotely, anywhere in India
Timings:- 40 hours a week but with 4 hours a day overlapping with client timezone. Typically clients are in California PST Timezone.
Position:- Full time/Direct

Other Benefits
- We have great benefits such as PF, medical insurance, 12 annual company holidays, 12
PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other
incentives etc.
- We dont believe in locking in people with large notice periods. You will stay here
because you love the company. We have only a 15 days notice period.

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Job Requirements
- 4-5 years proven experience as BI developer
- BI tools such as SiSense (preferred), Tableau, PowerBI
- Ability to create ETL and reporting dashboards
- Expert level proficiency in SQL and data modelling
- Knowledge of JavaScript, D3.js, Chart.js, Visualise.js, JSON, HTML and CSS (Any 2)
- Solid experience on:
1.       Developing custom BI solutions and visualisations.
2.       Writing relational and multi-dimensional database queries.
3.       Debugging, monitoring and troubleshooting BI solutions
4.       Creating and deploying reports
5.       Designing and troubleshooting BI models.
Nice to Have
- Worked on PostgreSQL, MySQL, MSSQL and Jasper
Soft Skills
1. Ability to take ownership of assigned tasks and work independently
2. Ability to work with the team and other stakeholders as needed; good communication skills
3. Adherence to deadlines and focus on deliverables
4. Strong attention to detail

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