Business Analyst (Data & Analytics) Remote Work, US shift
General Scope and Summary
The Data and Analytics Team sits in the Digital and Enterprise Capabilities Group and is responsible for driving the strategy, implementation and delivery of Data, Analytics and Automation capabilities across Enterprise. This global team will deliver “Next-Gen Value” by establishing core Data and Analytics capabilities needed to effectively manage and exploit Data as an Enterprise Asset. The Business Analyst will be responsible for documenting business processes, use cases and gathering requirements which will enable teams answer strategic and business questions through data.
Roles and Responsibilities
Night Shift - Remote Work
Document business processes this includes workflow diagrams, entity relationship diagrams and other supporting documentation
Design new workflows based upon business requirements
Interact with development resources to create the technical requirements
Act as quality assurance liaison prior to release of new data analysis or applications
Write technical documentation for our applications to be provided to customer success for turning into user friendly documentation
Perform Data Exploration and Analysis
Build simple reports/dashboards
Interact with external stakeholders to address technical issues.
Experience, Education and Specialised Knowledge and Skills
Must thrive working in a fast-paced, innovative environment while remaining flexible, proactive, resourceful, and efficient.
Strong interpersonal skills, ability to understand stakeholder pain points, ability to analyze complex issues to develop relevant and realistic solutions and recommendations.
Demonstrated ability to translate strategy into action; excellent technical skills and an ability to communicate complex issues in a simple way and to orchestrate solutions to resolve issues and mitigate risks.
Basic Qualifications
4+ years’ experience in business analytics, data analysis, data management, or related technologies.
Data Related certifications and/or degrees preferred.
Deep technical and domain knowledge related to Analytics, data exploration, business analysis Experience with a variety of business intelligence and analytical software package (e.g., Tableau, Power BI etc.).
Experience with Gathering requirements, creating workflows on data projects
Exposure, and knowledge of primary cloud provider offerings and architectures (AWS, Azure, GCP).
Knowledge of agile methods and delivery techniques.
Experience with Data exploration, profiling like SQL
Experience in working with cross functional teams.
Ability to deliver in fast paced environment with attention to detail and
execution focus
Exceptional verbal and written communication
Ability to work individually, within a cross-functional team, as well as with external partners and vendors
Preferred Qualification
Awareness of regulatory impacts to data in the Live Sciences business,
such as GxP.
Ability to deliver fast, show quick wins and have the big picture in mind
Ability to work with external vendors and hold them accountable
Ability to juggle multiple priorities and make quick decisions
About NA
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Technical must haves:
● Extensive exposure to at least one Business Intelligence Platform (if possible, QlikView/Qlik
Sense) – if not Qlik, ETL tool knowledge, ex- Informatica/Talend
● At least 1 Data Query language – SQL/Python
● Experience in creating breakthrough visualizations
● Understanding of RDMS, Data Architecture/Schemas, Data Integrations, Data Models and Data Flows is a must
● A technical degree like BE/B. Tech a must
Technical Ideal to have:
● Exposure to our tech stack – PHP
● Microsoft workflows knowledge
Behavioural Pen Portrait:
● Must Have: Enthusiastic, aggressive, vigorous, high achievement orientation, strong command
over spoken and written English
● Ideal: Ability to Collaborate
Preferred location is Ahmedabad, however, if we find exemplary talent then we are open to remote working model- can be discussed.
Wolken Software provides a suite of AI-enabled, SaaS 2.0 cloud-native applications for Customer Service and Enterprise Solutions namely Wolken Service Desk, Wolken's IT Service Management, and Wolken's HR Case Management. We have replaced incumbents like Salesforce, ServiceNow Zendesk, etc. at various Fortune 500 and Fortune 1000 companies.
Job Description:
We are looking for a Business Analyst with strong organizational and planning skills and a proven ability to multitask in a fast-paced environment. We are seeking a high level of motivation and a self-starting attitude, and the ability to work with minimal direction and supervision. The ideal candidate will have a metrics/data-driven analytical mindset of constantly measuring success and driving continuous improvement in tools, content, and programs.
Business Analyst Qualifications / Skills:
- Able to exercise independent judgment and take action on it.
- Excellent analytical, and creative problem-solving skills
- Excellent listening, interpersonal, written, and oral communication skills
- Logical and efficient, with keen attention to detail
- Highly self-motivated and directed.
- Ability to effectively prioritize and execute tasks while under pressure.
- Strong customer service orientation
- Experience working in a team-oriented, collaborative environment.
- BE, MBA Preferable.
Responsibilities:
- Data analysis
- Business Insights
- Leadership
- Influence
- Strategy
- Problem structuring
- Project management
- 3+ years of industry experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd and streaming databases like druid
- Strong industry expertise with containerization technologies including kubernetes, docker-compose
- 2+ years of industry in experience in developing scalable data ingestion processes and ETLs
- Experience with cloud platform services such as AWS, Azure or GCP especially with EKS, Managed Kafka
- Experience with scripting languages. Python experience highly desirable.
- 2+ Industry experience in python
- Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
- Demonstrated expertise of building cloud native applications
- Experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd
- Experience in API development using Swagger
- Strong expertise with containerization technologies including kubernetes, docker-compose
- Experience with cloud platform services such as AWS, Azure or GCP.
- Implementing automated testing platforms and unit tests
- Proficient understanding of code versioning tools, such as Git
- Familiarity with continuous integration, Jenkins
- Design and Implement Large scale data processing pipelines using Kafka, Fluentd and Druid
- Assist in dev ops operations
- Develop data ingestion processes and ETLs
- Design and Implement APIs
- Assist in dev ops operations
- Identify performance bottlenecks and bugs, and devise solutions to these problems
- Help maintain code quality, organization, and documentation
- Communicate with stakeholders regarding various aspects of solution.
- Mentor team members on best practices
- Working closely with business stakeholders to define, strategize and execute crucial business problem statements which lie at the core of improvising current and future data-backed product offerings.
- Building and refining underwriting models for extending credit to sellers and API Partners in collaboration with the lending team
- Conceiving, planning and prioritizing data projects and manage timelines
- Building analytical systems and predictive models as a part of the agile ecosystem
- Testing performance of data-driven products participating in sprint-wise feature releases
- Managing a team of data scientists and data engineers to develop, train and test predictive models
- Managing collaboration with internal and external stakeholders
- Building data-centric culture from within, partnering with every team, learning deeply about business, working with highly experienced, sharp and insanely ambitious colleagues
What you need to have:
- B.Tech/ M.Tech/ MS/ PhD in Data Science / Computer Science, Statistics, Mathematics & Computation with a demonstrated skill-set in leading an Analytics and Data Science team from IIT, BITS Pilani, ISI
- 8+ years working in the Data Science and analytics domain with 3+ years of experience in leading a data science team to understand the projects to be prioritized, how the team strategy aligns with the organization mission;
- Deep understanding of credit risk landscape; should have built or maintained underwriting models for unsecured lending products
- Should have handled a leadership team in a tech startup preferably a fintech/ lending/ credit risk startup.
- We value entrepreneurship spirit: if you have had the experience of starting your own venture - that is an added advantage.
- Strategic thinker with agility and endurance
- Aware of the latest industry trends in Data Science and Analytics with respect to Fintech, Digital Transformations and Credit-lending domain
- Excellent command over communication is the key to manage multiple stakeholders like the leadership team, product teams, existing & new investors.
- Cloud Computing, Python, SQL, ML algorithms, Analytics and problem - solving mindset
- Knowledge and demonstrated skill-sets in AWS
Square Panda is a startup headquartered in Sunnyvale, CA with additional offices located in India
and China. We are in a research based Ed-Tech space, focusing on children's early literacy. We
have 3000+ schools under our belt and are proud to cater the needs of English Language
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Responsibilities
o Lead the identification and execution of opportunities where Analytics can make a difference across the company with focus on multiple markets we operate in - US, India and China.
o Actively champion adoption of the analytics solutions across various markets and functions
o Translate business problems into Insights projects and lead in quantifying the various types of risk and rewards that allow these projects to be prioritized.
o Excellent project management and executive communication skills.
o Understanding of the techniques and technologies of data science, along with a detailed understanding of the challenges associated with each (e.g. overfitting, model refresh, challenge of acquiring training data, cost of compute, etc.)
o Proactively and continuously assess the marketplace and its dynamics, customers, and competitors.
o Provide an unbiased point of view on the performance of markets/brands, supported by facts and evidence
o Develop research strategies to ensure internal understanding of customer and competitor insights
o Develop and implement market research & analytical plans, in collaboration with cross‐functional teams.
o Seeks out alternative/creative ways of meeting an information need, considering new techniques to address business challenges.
o Monitor program risks and ensure appropriate actions are taken, including escalating issues timely to the management
o Maintain understanding of business operations and how users interact with the relevant systems and use that understanding to provide decision support analysis.
o Tap the working knowledge of AI and analytics to convey these business goals to the data professionals who will create the models and solutions.
o Enthusiasm, commitment, and business savvy to navigate the technical, political, and organizational roadblocks that can emerge.
Desired Profile
o 6-8 years of experience in executing multiple analytics projects end to end
o Entrepreneurial mind-set o Should have played hands on data sciences role in the past with full knowledge of which analytics technique to apply
o Background of core consulting / start up handling end to end projects o Excellent communication and project management skills o Ability to lead both business and analytics team to generate ROI and success for business o Expertise across the spectrum of analytics - Dashboards, Visualizations, Insights, Data Science driven AI, ML Projects