Ab>initio, Big Data, Informatica, Tableau, Data Architect, Cognos, Microstrategy, Healther Business Analysts, Cloud etc.
at Exusia

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Job Overview:
- JD of DATA ANALYST:
- Strong proficiency in Python programming.
- Preferred knowledge of cloud technologies, especially in Google Cloud Platform (GCP).
- Experience with visualization tools such as Grafana, PowerBI, and Tableau.
- Good to have knowledge of AI/ML models.
- Must have extensive knowledge in Python analytics, particularly in exploratory data analysis (EDA).
• Development/Testing/Processes
• Developing effective QlikView/ Sense data models
• Developing front end applications using Qlik technology
• Utilizing scripting language to meet complex business requirements
• Utilizing Qlik Publisher / N printing capabilities
• Extract, transform and load (ETL) data from multiple data sources into the Qlik application
• Design, build, test and debug Qlik solutions based upon specified
requirements
• Follow implementation standards
• Utilize source control tools
• Follow deployment process
• Experience creating extract/transform/load routines from data sources
including SAP BW, SAP R/3, MS SQL Server, DB2, Oracle as well as other data sources
• Solid experience developing complex Qlik data models
Specific Responsibilities:
• Participating in business requirements and design review sessions
• Providing input on proposing, evaluating, and selecting appropriate
design alternatives which meet requirements and are consistent with our
current standards and processes
• Extracting, transforming and loading data into Qlik applications
• Developing, testing, debugging Qlik applications
• Migrating code across development and testing landscapes
• Creating publisher jobs
• Developing documentation
• Transferring knowledge and landing application to BI Support team
• Good communication skills and ability to interact with the customer
• Willingness to travel is mandatory
• Experience on Qlik sense, Geo Analytics an added advantage
• B. E. /B. Tech. in Computer Science or MCA from a reputed university.
• 3.5 plus years of experience in software development, with emphasis on JAVA/J2EE Server side
programming.
• Hands on experience in core Java, multithreading, RMI, socket programing, JDBC, NIO, webservices
and design patterns.
• Knowledge of distributed system, distributed caching, messaging frameworks, ESB etc.
• Experience in Linux operating system and PostgreSQL/MySQL/MongoDB/Cassandra database.
• Additionally, knowledge of HBase, Hadoop and Hive is desirable.
• Familiarity with message queue systems and AMQP and Kafka is desirable.
• Experience as a participant in agile methodologies.
• Excellent written and verbal communication skills and presentation skills.
• This is not a fullstack requirement, we are looking for a purely backend expert.
We are hiring for Java / Spark Developer.
Good IT experience in JAVA technology and its frameworks
Hands on experience in JAVA FULL STACK development including MINIMUM 2YEAR IN SPARK
Experience in writing SQL for any one Relational database ex. Oracle
Extensive knowledge in HiveSQL Hadoop
Experience in Version control through Bitbucket Issue tracking through JIRA CICD


Senior Data Scientist-Job Description
The Senior Data Scientist role is a creative problem solver who utilizes statistical/mathematical principles and modelling skills to uncover new insights that will significantly and meaningfully impact business decisions and actions. She/he applies their data science expertise in identifying, defining, and executing state-of-art techniques for academic opportunities and business objectives in collaboration with other Analytics team members. The Senior Data Scientist will execute analyses & outputs spanning test design and measurement, predictive analytics, multivariate analysis, data/text mining, pattern recognition, artificial intelligence, and machine learning.
Key Responsibilities:
- Perform the full range of data science activities including test design and measurement, predictive/advanced analytics, and data mining, and analytic dashboards.
- Extract, manipulate, analyse & interpret data from various corporate data sources developing advanced analytic solutions, deriving key observations, findings, insights, and formulating actionable recommendations.
- Generate clearly understood and intuitive data science / advanced analytics outputs.
- Provide thought leadership and recommendations on business process improvement, analytic solutions to complex problems.
- Participate in best practice sharing and communication platform for advancement of the data science discipline.
- Coach and collaborate with other data scientists and data analysts.
- Present impact, insights, outcomes & recommendations to key business partners and stakeholders.
- Comply with established Service Level Agreements to ensure timely, high quality deliverables with value-add recommendations, clearly articulated key findings and observations.
Qualification:
- Bachelor's Degree (B.A./B.S.) or Master’s Degree (M.A./M.S.) in Computer Science, Statistics, Mathematics, Machine Learning, Physics, or similar degree
- 5+ years of experience in data science in a digitally advanced industry focusing on strategic initiatives, marketing and/or operations.
- Advanced knowledge of best-in-class analytic software tools and languages: Python, SQL, R, SAS, Tableau, Excel, PowerPoint.
- Expertise in statistical methods, statistical analysis, data visualization, and data mining techniques.
- Experience in Test design, Design of Experiments, A/B Testing, Measurement Science Strong influencing skills to drive a robust testing agenda and data driven decision making for process improvements
- Strong Critical thinking skills to track down complex data and engineering issues, evaluate different algorithmic approaches, and analyse data to solve problems.
- Experience in partnering with IT, marketing operations & business operations to deploy predictive analytic solutions.
- Ability to translate/communicate complex analytical/statistical/mathematical concepts with non-technical audience.
- Strong written and verbal communications skills, as well as presentation skills.
XpressBees – a logistics company started in 2015 – is amongst the fastest growing
companies of its sector. While we started off rather humbly in the space of
ecommerce B2C logistics, the last 5 years have seen us steadily progress towards
expanding our presence. Our vision to evolve into a strong full-service logistics
organization reflects itself in our new lines of business like 3PL, B2B Xpress and cross
border operations. Our strong domain expertise and constant focus on meaningful
innovation have helped us rapidly evolve as the most trusted logistics partner of
India. We have progressively carved our way towards best-in-class technology
platforms, an extensive network reach, and a seamless last mile management
system. While on this aggressive growth path, we seek to become the one-stop-shop
for end-to-end logistics solutions. Our big focus areas for the very near future
include strengthening our presence as service providers of choice and leveraging the
power of technology to improve efficiencies for our clients.
Job Profile
As a Lead Data Engineer in the Data Platform Team at XpressBees, you will build the data platform
and infrastructure to support high quality and agile decision-making in our supply chain and logistics
workflows.
You will define the way we collect and operationalize data (structured / unstructured), and
build production pipelines for our machine learning models, and (RT, NRT, Batch) reporting &
dashboarding requirements. As a Senior Data Engineer in the XB Data Platform Team, you will use
your experience with modern cloud and data frameworks to build products (with storage and serving
systems)
that drive optimisation and resilience in the supply chain via data visibility, intelligent decision making,
insights, anomaly detection and prediction.
What You Will Do
• Design and develop data platform and data pipelines for reporting, dashboarding and
machine learning models. These pipelines would productionize machine learning models
and integrate with agent review tools.
• Meet the data completeness, correction and freshness requirements.
• Evaluate and identify the data store and data streaming technology choices.
• Lead the design of the logical model and implement the physical model to support
business needs. Come up with logical and physical database design across platforms (MPP,
MR, Hive/PIG) which are optimal physical designs for different use cases (structured/semi
structured). Envision & implement the optimal data modelling, physical design,
performance optimization technique/approach required for the problem.
• Support your colleagues by reviewing code and designs.
• Diagnose and solve issues in our existing data pipelines and envision and build their
successors.
Qualifications & Experience relevant for the role
• A bachelor's degree in Computer Science or related field with 6 to 9 years of technology
experience.
• Knowledge of Relational and NoSQL data stores, stream processing and micro-batching to
make technology & design choices.
• Strong experience in System Integration, Application Development, ETL, Data-Platform
projects. Talented across technologies used in the enterprise space.
• Software development experience using:
• Expertise in relational and dimensional modelling
• Exposure across all the SDLC process
• Experience in cloud architecture (AWS)
• Proven track record in keeping existing technical skills and developing new ones, so that
you can make strong contributions to deep architecture discussions around systems and
applications in the cloud ( AWS).
• Characteristics of a forward thinker and self-starter that flourishes with new challenges
and adapts quickly to learning new knowledge
• Ability to work with a cross functional teams of consulting professionals across multiple
projects.
• Knack for helping an organization to understand application architectures and integration
approaches, to architect advanced cloud-based solutions, and to help launch the build-out
of those systems
• Passion for educating, training, designing, and building end-to-end systems.

- As a Manager- Business Analysis- you would be working on key problem statements to achieve given business objectives.
- As a Manager- Analyst, you will build the framework for the company’s top metrics related to sales, conversion funnels, inventory related, customer experience metrics and other input/output parameters, seller/ brand-related metrics to monitor business performance.
- Work with internal clients and provide timely solutions to both new initiatives and business as usual requests.
- Ability to conceptualize the best metrics for various problem statements to help business stakeholders achieve their objectives.
Must Haves:
- 2 to 4 years of experience in analytics.
- Should be great at SQL and Excel.
- Should be conversant with R or Python.
- Should have experience in analytics tools such as Tableau, QlikSense, PowerBI, Periscope.
- A First-principles thinker Has the ability to get to the root of problems and come up with logical, practical, and effective solutions.
- Excellent communication skills: written and verbal.
Nice To Have:
- Prior experience in the e-commerce industry.
- Experience in modeling and ML for various e-commerce use cases such as building recommendation models.
- A good understanding of databases and servers.
Key Competencies:
- Business Acumen
- Organizational collaboration
- Learning Agility
- Drive for results
- Execution excellence
Experience: 6-9 yrs
Location: NoidaJob Description:
- Must Have 3-4 Experience in SSIS, Mysql
- Good Experience in Tableau
- Experience in SQL Server.
- 1+ year of Experience in Tableau
- Knowledge of ETL Tool
- Knowledge of Dataware Housing





