Postgress DBA

Role Overview

We are looking for a Senior Marketing Analytics professional with strong experience in Marketing Mix Modeling (MMM), Attribution Modeling, and ROI analysis. The role involves working closely with marketing and business leadership to deliver actionable insights that optimize marketing spend and drive business growth.

Key Responsibilities

• Analyze large-scale marketing and customer datasets to deliver actionable business insights.
• Build and maintain Marketing Mix Models (MMM) to measure media effectiveness and optimize marketing investments.
• Design and implement attribution models (multi-touch, incrementality, lift analysis) to evaluate campaign performance.
• Perform ROI, CAC, ROAS, and funnel analysis across marketing channels.
• Write complex SQL queries to extract, combine, and analyze data from multiple sources.
• Use Python for statistical analysis, regression modeling, forecasting, and experimentation.
• Develop and publish Tableau dashboards and automated reports for leadership and stakeholders.
• Work with marketing platforms such as Google Analytics (GA4), Adobe Analytics, Salesforce Marketing Cloud, Marketo, or similar tools.
• Collaborate with cross-functional teams to define KPIs, reporting requirements, and analytics roadmaps.
• Present insights and recommendations clearly to senior leadership and non-technical stakeholders.
• Ensure data accuracy, consistency, and documentation of analytics methodologies.

Required Skills & Qualifications

• 8+ years of experience in analytics, with a strong focus on marketing or digital analytics.
• Hands-on expertise in Marketing Mix Modeling (MMM) and Attribution Modeling.
• Strong proficiency in SQL and Python for data analysis.
• Experience with Tableau for dashboarding and automated reporting.
• Working knowledge of Google Analytics / GA4, Adobe Analytics, and marketing automation or CRM tools.
• Strong understanding of data modeling, reporting, and ROI measurement.
• Excellent stakeholder management, communication, and data storytelling skills.
• Ability to work independently in a fast-paced and ambiguous environment.

Good to Have

• Experience with Power BI / Looker / BigQuery
• Exposure to A/B testing, experimentation, or econometric modeling
• Experience working with large marketing datasets and cloud platforms

Role Overview

We are looking for a Senior Marketing Analytics professional with strong experience in Marketing Mix Modeling (MMM), Attribution Modeling, and ROI analysis. The role involves working closely with marketing and business leadership to deliver actionable insights that optimize marketing spend and drive business growth.

Key Responsibilities

• Analyze large-scale marketing and customer datasets to deliver actionable business insights.
• Build and maintain Marketing Mix Models (MMM) to measure media effectiveness and optimize marketing investments.
• Design and implement attribution models (multi-touch, incrementality, lift analysis) to evaluate campaign performance.
• Perform ROI, CAC, ROAS, and funnel analysis across marketing channels.
• Write complex SQL queries to extract, combine, and analyze data from multiple sources.
• Use Python for statistical analysis, regression modeling, forecasting, and experimentation.
• Develop and publish Tableau dashboards and automated reports for leadership and stakeholders.
• Work with marketing platforms such as Google Analytics (GA4), Adobe Analytics, Salesforce Marketing Cloud, Marketo, or similar tools.
• Collaborate with cross-functional teams to define KPIs, reporting requirements, and analytics roadmaps.
• Present insights and recommendations clearly to senior leadership and non-technical stakeholders.
• Ensure data accuracy, consistency, and documentation of analytics methodologies.

Required Skills & Qualifications

• 8+ years of experience in analytics, with a strong focus on marketing or digital analytics.
• Hands-on expertise in Marketing Mix Modeling (MMM) and Attribution Modeling.
• Strong proficiency in SQL and Python for data analysis.
• Experience with Tableau for dashboarding and automated reporting.
• Working knowledge of Google Analytics / GA4, Adobe Analytics, and marketing automation or CRM tools.
• Strong understanding of data modeling, reporting, and ROI measurement.
• Excellent stakeholder management, communication, and data storytelling skills.
• Ability to work independently in a fast-paced and ambiguous environment.

Good to Have

• Experience with Power BI / Looker / BigQuery
• Exposure to A/B testing, experimentation, or econometric modeling
• Experience working with large marketing datasets and cloud platforms

We are hiring for Corporate Ticketing (Male)

Location- Noida-Sec- 63

Experience- 3+ Yrs

Should be comfortable for Night Shifts

Preferred candidates from Travel agencies with good communication skills.

Required:

●  Possess in-depth knowledge of GDS systems, specifically Galileo and sabre only

●  Demonstrate proficiency in managing both international and domestic ticketing operations.

●   Strong knowledge of city codes, airport codes, and airline hubs.

●   Excellent communication skill in both written and verbal formats

●   Willingness to work in rotational shifts, including nights and weekends

Exp: 4-6 years

Position: Backend Engineer

Job Location: Bangalore ( office near cubbon park - opp JW marriott)

Work Mode : 5 days work from office 

Requirements:

● Engineering graduate with 3-5 years of experience in software product development.

● Proficient in Python, Node.js, Go

● Good knowledge of SQL and NoSQL

● Strong Experience in designing and building APIs

● Experience with working on scalable interactive web applications

● A clear understanding of software design constructs and their implementation

● Understanding of the threading limitations of Python and multi-process architecture

● Experience implementing Unit and Integration testing

● Exposure to the Finance domain is preferred

● Strong written and oral communication skills

The role of a Personal Loan Risk Head is to own, manage and communicate risk policies and processes. He/She shall provide hands-on development of risk models involving market, credit and operational risk, assure controls are operating effectively, and provide research and analytical support. Prospective candidates must have excellent quantitative and analytical skills, along with the ability to apply those skills across a variety of business processes.

Key Expectations

• Designing and implementing an overall risk management process for the Personal Loan portfolio, which includes an analysis of the financial impact on the company when risks occur
• Performing a risk assessment: Analyzing current risks and identifying potential risks that are affecting the company
• Own the portfolio risk metrics - Loss forecasting, Stress testing, Credit Risk, Liquidity risk, Collections performance & strategy & overall ROA by segment.
• Monitor portfolio risk from granular dimensions and constantly implement strategies to maintain risk metrics within specific ranges.
• Monitor various operational metrics and develop alerting mechanisms to maintain process efficiency
• Designing and implementing strategies for Underwriting, Account Management, Portfolio Monitoring and Collections
• Develop risk based credit policies and pricing grids to maximize approvals within specific segments of risk
• Work with data science team which will develop algorithms and scorecards and drive decision models across various business segments.
• Partner with Engineering team to implement policies and scorecards.
• Supervise creation of time-sensitive analytics, visualisations, and complicated, high-visibility reports for Risk and Business management to use in portfolio monitoring and strategic decision-making.

Competencies -

• Have strong business understanding of the retail lending business in India and understanding of the regulatory landscape
• Should have hands-on experience working as data analyst or data scientist or statistical modeler in retail space, preferably in financial services or ecommerce.
• Strong experience in establishing and managing high-performing teams with a collaborative leadership approach.
• Outstanding communication skills, both verbal and written