11+ SAS Visual Analytics Jobs in Mumbai | SAS Visual Analytics Job openings in Mumbai

About the company

DCB Bank is a new generation private sector bank with 442 branches across India.It is a scheduled commercial bank regulated by the Reserve Bank of India. DCB Bank’s business segments are Retail banking, Micro SME, SME, mid-Corporate, Agriculture, Government, Public Sector, Indian Banks, Co-operative Banks and Non-Banking Finance Companies.

Job Description

Department: Risk Analytics

CTC: Max 18 Lacs

Grade: Sr Manager/AVP

Experience: Min 4 years of relevant experience

We are looking for a Data Scientist to join our growing team of Data Science experts and manage the processes and people responsible for accurate data collection, processing, modelling, analysis, implementation, and maintenance.

Responsibilities

• Understand, monitor and maintain existing financial scorecards (ML Based) and make changes to the model when required.
• Perform Statistical analysis in R and assist IT team with deployment of ML model and analytical frameworks in Python.
• Should be able to handle multiple tasks and must know how to prioritize the work.
• Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Develop clear, concise and actionable solutions and recommendations for client’s business needs and actively explore client’s business and formulate solutions/ideas which can help client in terms of efficient cost cutting or in achieving growth/revenue/profitability targets faster.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
• Design and build technical processes to address business issues.
• Oversee the design and delivery of reports and insights that analyse business functions and key operations and performance metrics.
• Manage and optimize processes for data intake, validation, mining, and engineering as well as modelling, visualization, and communication deliverables.
• Communicate results and business impacts of insight initiatives to the Management of the company.

Requirements

• Industry knowledge
• 4 years or more of experience in financial services industry particularly retail credit industry is a must.
• Candidate should have either worked in banking sector (banks/ HFC/ NBFC) or consulting organizations serving these clients.
• Experience in credit risk model building such as application scorecards, behaviour scorecards, and/ or collection scorecards.
• Experience in portfolio monitoring, model monitoring, model calibration
• Knowledge of ECL/ Basel preferred.
• Educational qualification: Advanced degree in finance, mathematics, econometrics, or engineering.
• Technical knowledge: Strong data handling skills in databases such as SQL and Hadoop. Knowledge with data visualization tools, such as SAS VI/Tableau/PowerBI is preferred.
• Expertise in either R or Python; SAS knowledge will be plus.

Soft skills:

• Ability to quickly adapt to the analytical tools and development approaches used within DCB Bank
• Ability to multi-task good communication and team working skills.
• Ability to manage day-to-day written and verbal communication with relevant stakeholders.
• Ability to think strategically and make changes to data when required.

Mandatory : Excellent in communication

Job Description : 

Sales Closure & Client Coordination Specialist

 Role Overview : A commercially sharp, execution-focused Sales Closure Specialist who will take ownership of converting qualified leads into revenue. This is not a lead generation role.

 The position is responsible for:

  Driving structured follow-ups

  Managing proposals and commercial documentation 

 Supporting negotiation discussions 

 Ensuring disciplined closure of opportunities The role requires strong client engagement capability, commercial maturity, and the ability to work in a structured B2B sales environment—particularly with international clients entering or expanding in India.

 Key Responsibilities

 1. Opportunity Conversion & Deal Closure 

 Engage with pre-qualified inbound leads shared by the company. 

 Conduct structured discovery discussions to understand client requirements (HR, Payroll, EOR, BPO, Compliance, Accounting). 

 Drive timely follow-ups to move opportunities through the sales pipeline.  Support commercial discussions and negotiations under leadership guidance. 

 Work towards defined monthly and quarterly closure targets.          2. Proposal & Commercial Management

  Prepare customized proposals aligned with client requirements and OBOX pricing frameworks.  Coordinate internally with operations, compliance, and finance teams to structure commercial terms. 

 Ensure accurate documentation, scope clarity, and commercial positioning.

  Support addendums, revisions, and proposal refinements as required.   3. Client Communication & Relationship Handling

  Act as a structured communication bridge between client and senior leadership.

 Maintain professional engagement with founders, CFOs, HR heads, and business leaders. 

 Build credibility through clarity, responsiveness, and commercial understanding. 

 Ensure client confidence during evaluation and decision-making stage.   4. Sales Process & CRM Discipline

  Maintain accurate CRM updates and opportunity tracking. 

 Ensure follow-up timelines are adhered to.

  Share weekly pipeline status and conversion insights. 

 Identify bottlenecks in deal progression and escalate proactively. KPIs (Indicative)

  Lead-to-closure conversion rate 

 Proposal turnaround time  Sales cycle duration 

 Revenue closed per month 

 CRM hygiene & documentation accuracy Required Skills & Competencies

  Strong B2B communication skills (verbal & written). 

 Confident negotiation support capability.

  Ability to understand commercial structures and pricing discussions

.  Structured follow-up mindset.

  Objection handling skills.  High ownership and accountability

 Proficiency in MS Office & CRM tools. Preferred Background

  4+ years’ experience in B2B services sales, HR consulting, payroll, EOR, recruitment, or professional services. 

 Exposure to dealing with international clients preferred.

  Graduate in any discipline (MBA – Sales/Marketing preferred but not mandatory). Ideal Candidate Profile 

 Commercially mature and confident in business conversations.

  Detail-oriented with strong backend documentation capability.  Target-driven but process-disciplined.

  Comfortable working in a structured, compliance-sensitive environment.  Able to represent OBOX’s positioning of “Making India Easy” for foreign companies.

Job Title: Bartender

Department: Operations – Bar

Job Location : Vashi / Wadala

Reports To: Bar Manager / Restaurant Manager

The Bartender is responsible for preparing and serving alcoholic and non-alcoholic beverages, ensuring high standards of product quality, guest interaction, and bar hygiene.

The role requires excellent mixology skills, product knowledge, and a strong customer service mindset.

Requirements Education & Experience

12th Pass / Hospitality Diploma preferred.

1–2 years of bartending experience in a high-volume bar/restaurant.

Strong mixology and beverage knowledge is an advantage.

Skills

Excellent communication and guest-interaction skills.

Speed, accuracy, and attention to detail.

Knowledge of cocktail recipes, glassware, and bar tools. Ability to work under pressure during peak hours.

Strong teamwork and coordination with bar & service teams. Work Conditions Requires standing for long hours.

Flexible to work in shifts, weekends, and holidays. Must be comfortable working in a fast-paced environment.

Review Criteria:

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Role & Responsibilities:

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

We are looking for an experienced Java Support Engineer with 4+ years of hands-on experience in supporting and maintaining Java/Spring Boot-based applications. The ideal candidate will be responsible for production support, debugging issues, and ensuring smooth application performance.

Key Responsibilities:

• Provide L2/L3 support for Java/Spring Boot applications in production and non-production environments.
• Perform incident analysis, root cause identification, and apply quick fixes or permanent solutions.
• Handle application deployments, environment monitoring, and performance tuning.
• Collaborate with development, DevOps, and database teams to resolve technical issues.
• Write and debug SQL queries, manage data fixes, and ensure database integrity.
• Use monitoring tools like Splunk, Kibana, or ELK Stack for issue investigation.
• Prepare documentation for recurring issues and maintain knowledge base.

Technical Skills:

• Strong in Core Java, Spring Boot, RESTful APIs
• Good knowledge of SQL / PL-SQL (Oracle / MySQL / PostgreSQL)
• Familiar with Linux/Unix commands and Shell scripting
• Exposure to microservices architecture and CI/CD tools (Jenkins, Maven)
• Hands-on experience with application monitoring and log analysis tools
• Knowledge of cloud (AWS / Azure) environments is a plus

Soft Skills:

• Strong problem-solving and analytical mindset
• Good communication and teamwork skills
• Ability to work under pressure and handle on-call support if required

We're Hiring: Golang Developer (3–5 Years Experience)

Location: Mumbai

We are looking for a skilled Golang Developer with strong experience in backend development, microservices, and system-level programming. In this role, you will work on high-performance trading systems, low-latency architecture, and scalable backend solutions.

Key Responsibilities

• Develop and maintain backend services using Golang

• Build scalable, secure, and high-performance microservices

• Work with REST APIs, WebSockets, message queues, and distributed systems

• Collaborate with DevOps, frontend, and product teams for smooth project delivery

• Optimize performance, troubleshoot issues, and ensure system stability

Skills & Experience Required

• 3–5 years of experience in Golang development

• Strong understanding of data structures, concurrency, and networking

• Hands-on experience with MySQL / Redis / Kafka or similar technologies

• Good understanding of microservices architecture, APIs, and cloud environments

• Experience in fintech/trading systems is an added advantage

• Immediate joiners or candidates with up to 30 days notice period preferred

If you are passionate about backend engineering and want to build fast, scalable trading systems.

• Work closely with partners to gain a comprehensive understanding of the company’s hiring needs for each position, and meet competitive hiring goals and expectations
• Manage the full recruiting lifecycle across a variety of open roles helping management find, hire, and retain quality talent
• Grow and foster high-touch relationships with a database of qualified active and passive talent to pull from as new positions open up
• Continuously partner with recruiting team and senior managers to design, refine, and implement innovative recruiting strategies
• Stay active with current with job boards, social networks, and platforms to find talent, and plan, create, and release job descriptions and announcements.
•  

• 2 -5 years’ experience in recruitment (IT recruitment plus)
• Exceptional communication, interpersonal, and decision-making skills
• Advanced knowledge of MS Office, database management, and internet search
• Familiarity with job boards

Designation – Technical Specialist L-1

Employment Type – Permanent

Education – Technical Graduate |Graduate / 12th+ Diploma.

Experience – 3 to 5 Years

Location – Bandra, Mumbai

Working – Monday to Friday

Joining – Immediately

Essential Duties and Responsibilities: (Additional duties may be assigned as required)

• Troubleshoot issues in support of production outages within SLA/escalation guidelines.
• Consult with customers to understand the issues.
• Proactively monitor environments and respond to alerts of systems and issues.
• Having the ability to accurately document all actions taken is key to providing the best support possible.
• Capable of performing in a fast-paced technical environment. Continually identify efficiencies for systems, processes, and procedures.

Required Skills:

• Experience with Proxy
• Understanding of and Networking concepts.
• Basic Knowledge of Network terminologies (IPS/ IDS, eb Proxy, microsegmentation, DDos)
• -Basic Knowledge of Security terminologies