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Role & Responsibilities

Minimum required Accountabilities for this role-

• Conduct in-depth moderated and unmoderated user interviews using psychological frameworks (e.g., Prospect Theory, Cognitive Dissonance, System 1 & 2) to uncover latent motivations, emotional drivers, and behavioral barriers.
• Design, deploy, and analyze quantitative research studies (surveys, questionnaires, experiments) grounded in validated psychological models such as Theory of Planned Behavior (TPB), Big Five Personality Traits, and Self-Determination Theory.
• Synthesize qualitative and quantitative data into actionable insights by identifying underlying cognitive and behavioral patterns (e.g., loss aversion, anchoring bias, trust erosion).
• Translate research findings into structured outputs such as personas, mental models, journey maps, and behavioral frameworks that predict user behavior.
• Test UI/UX prototypes through usability and concept validation studies using tools like Figma, Maze, and UserTesting, leveraging models such as Fogg’s Behavior Model.
• Own end-to-end research execution including study design, participant recruitment, psychometric segmentation, data analysis, and insight storytelling.

Additional Accountabilities pertaining to the role-

• Partner closely with design, product, and business teams to convert behavioral insights into bias-aware recommendations, nudges, and experience improvements.
• Monitor fintech and behavioral science trends (e.g., hyperbolic discounting, decision fatigue) through diary studies, ethnographic research, and secondary analysis.
• Support business KPIs such as conversion, engagement, retention, and trust through evidence-backed research inputs.
• Contribute to the development of internal research standards, methodologies, and best practices.

Ideal Candidate

• Strong Behavioral Research / Behavioral Insights / Consumer Behavior Research Profiles
• Mandatory (Experience 1): Must have 2+ years of experience in Behavioral Research, Consumer Behavior Analysis, Behavioral Science, or Market Research, focusing on understanding user motivations, decision patterns, and digital behavior
• Mandatory (Experience 2): Must have hands-on experience conducting primary and secondary research, including qualitative and quantitative research methods such as interviews, ethnographic studies, surveys, behavioral experiments, and observational research
• Mandatory (Experience 3) : Experience analyzing user behavior patterns, engagement trends, and digital interaction journeys to generate insights that influence product design, feature development, or platform experience improvements
• Mandatory (Experience 4): Must have exposure to data analysis or data mining of user behavior datasets, combining research insights with behavioral data to identify patterns, anomalies, or opportunities for product innovation
• Mandatory (Skills 1): Strong understanding of Behavioral Science principles such as Cognitive Bias, Cognitive Dissonance, System 1 & System 2 Thinking, Decision Science, or Consumer Psychology
• Mandatory (Skills 2): Experience in testing concepts, prototypes, or product ideas through usability testing, concept validation, or behavioral experimentation to evaluate user response and product effectiveness
• Mandatory (Skills 3): Ability to synthesize research findings into actionable insights, hypotheses, and recommendations for Product, Design, or Business teams
• Mandatory (Skills 4): Basic understanding of UI/UX and digital product journeys, including how users interact with mobile apps or web platforms, though this is not a design role
• Mandatory (Education): Background in Behavioral Science, Psychology, Sociology, Anthropology, Ethnography, Cognitive Science, or related fields (BA/MA/MSc/BSc)
• Candidates from institutes with strong behavioral research exposure are preferred
• Mandatory (Company): Candidates from B2C consumer product organizations where user behavior is closely tracked and analyzed, such as consumer tech, fintech, e-commerce, or digital platforms
• Mandatory (Note):This is not a pure UX Researcher or Data Analyst role. The client is looking for Design Thinking–oriented Behavioral Researchers who combine behavioral science, research methodologies, and behavioral data analysis to generate insights
• Preferred (Skills): Exposure to behavioral experimentation, usability testing, journey analysis, or consumer psychology frameworks used to improve digital product experience
• Preferred (Gender) : Female candidates are highly preferred

Job Requirements:

Intermediate Linux Knowledge

• Experience with shell scripting
• Familiarity with Linux commands such as grep, awk, sed
• Required

Advanced Python Scripting Knowledge

• Strong expertise in Python
• Required

Ruby

• Nice to have

Basic Knowledge of Network Protocols

• Understanding of TCP/UDP, Multicast/Unicast
• Required

Packet Captures

• Experience with tools like Wireshark, tcpdump, tshark
• Nice to have

High-Performance Messaging Libraries

• Familiarity with tools like Tibco, 29West, LBM, Aeron
• Nice to have

3+ years of experience of Workday HCM configuration experience, across 2+ Workday modules (deployment experience

Key responsibilities

• Support with design/requirements workshops
• Lead on design/requirements workshops for smaller pieces of work (below 300 hours)
• Confident in configuring workday with the ability to reference Workday Community for clarity
• Ability to create effort estimates based on requirements
• Excellent problem solver
• Wants to master additional modules of Workday
• Support and mentor junior resource based in Portugal/UK
• Achieve a high level of utilisation
• Be consultative in their customer approach

Job Responsibilities

• Design, build & test ETL processes using Python & SQL for the corporate data warehouse
• Inform, influence, support, and execute our product decisions
• Maintain advertising data integrity by working closely with R&D to organize and store data in a format that provides accurate data and allows the business to quickly identify issues.
• Evaluate and prototype new technologies in the area of data processing
• Think quickly, communicate clearly and work collaboratively with product, data, engineering, QA and operations teams
• High energy level, strong team player and good work ethic
• Data analysis, understanding of business requirements and translation into logical pipelines & processes
• Identification, analysis & resolution of production & development bugs
• Support the release process including completing & reviewing documentation
• Configure data mappings & transformations to orchestrate data integration & validation
• Provide subject matter expertise
• Document solutions, tools & processes
• Create & support test plans with hands-on testing
• Peer reviews of work developed by other data engineers within the team
• Establish good working relationships & communication channels with relevant departments

Skills and Qualifications we look for

• University degree 2.1 or higher (or equivalent) in a relevant subject. Master’s degree in any data subject will be a strong advantage.
• 4 - 6 years experience with data engineering.
• Strong coding ability and software development experience in Python.
• Strong hands-on experience with SQL and Data Processing.
• Google cloud platform (Cloud composer, Dataflow, Cloud function, Bigquery, Cloud storage, dataproc)
• Good working experience in any one of the ETL tools (Airflow would be preferable).
• Should possess strong analytical and problem solving skills.
• Good to have skills - Apache pyspark, CircleCI, Terraform
• Motivated, self-directed, able to work with ambiguity and interested in emerging technologies, agile and collaborative processes.
• Understanding & experience of agile / scrum delivery methodology

Responsibilities:

• PowerPoint presentation editing/creation, extensive graphing and charting in Excel, and general desktop publishing duties.
• Help the business development team in preparing collaterals by editing business presentations to make them client ready.
• Follow design and brand standards.
• Improve and revise graphics file as necessary. Good design principles.
• Work with design team to edit educational material.
• Design and edit expert level PowerPoint presentations.
• Use deep knowledge of Illustrator, Photoshop, Excel and Word.
• Apply creative layout solutions to presentation slides.
• Execute complex and ambiguous edits with minimal direction.
• Support all design decisions with creative, strategic and/or business reasoning.

Mandatory requirements:

• Excellent design skills, and experience with formatting business presentation and documentation
• Team player.
• Preferred experience in Animation, Infographics, and Slide Designing.
• Minimum 1 year of experience of PowerPoint Designing in eLearning content development of educational Industry.

• Well versed in MS Office tools (PowerPoint, Word, Excel & Visio) is of vital importance.
• Having a workable knowledge of Adobe tools is required to work with Photography, Illustrations, etc.
• Should know elements like color theory, typography and layout
• Knowledge of the design principles, document production and print / digital processes.
• Graphics Animations Skill is required

• Typing speed required min 30 WPM in Marathi and English Language.

Experience: 6+ years

Location: Pune

Lead/support implementation of core cloud components and document critical design and configuration details to support enterprise cloud initiatives. The Cloud Infrastructure Lead will be primarily responsible for utilizing technical skills to coordinate enhancements and deployment efforts and to provide insight and recommendations for implementing client solutions. Leads will work closely with Customer, Cloud Architect, other Cloud teams and other functions.

Job Requirements:

• Experience in Cloud Foundation setup from the hierarchy of Organization to individual services
• Experience in Cloud Virtual Network, VPN Gateways, Tunneling, Cloud Load Balancing, Cloud Interconnect, Cloud DNS
• Experience working with scalable networking technologies such as Load Balancers/Firewalls and web standards (REST APIs, web security mechanisms)
• Experience working with Identity and access management (MFA, SSO, AD Connect, App Registrations, Service Principals)
• Familiarity with standard IT security practices such as encryption, certificates and key management.
• Experience in Deploying and maintaining Applications on Kubernetes
• Must have worked on one or more configuration tools such an Terraform, Ansible, PowerShell DSC
• Experience on Cloud Storage services including MS SQL DB, Tables, Files etc
• Experience on Cloud Monitoring and Alerts mechanism
• Well versed with Governance and Cloud best practices for Security and Cost optimization 
• Experience in one or more of the following: Shell scripting, PowerShell, Python or Ruby. 
• Experience with Unix/Linux operating systems internals and administration (e.g., filesystems, system calls) or networking (e.g., TCP/IP, routing, network topologies and hardware, SDN)
• Should have strong knowledge of Cloud billing and understand costing of different cloud services 
• Prior professional experience in IT Strategy, IT Business Management, Cloud & Infrastructure, or Systems Engineering

Preferred 

• Compute: Infrastructure, Platform Sizing, Consolidation, Tiered and Virtualized Storage, Automated Provisioning, Rationalization, Infrastructure Cost Reduction, Thin Provisioning
• Experience with Operating systems and Software
• Sound background with Networking and Security 
• Experience with Open Source: Sizing and Performance Analyses, Selection and Implementation, Platform Design and Selection
• Experience with Infrastructure-Based Processes: Monitoring, Capacity Planning, Facilities Management, Performance Tuning, Asset Management, Disaster Recovery, Data Center support

About Us!

A global Leader in the Data Warehouse Migration and Modernization to the Cloud, we empower businesses by migrating their Data/Workload/ETL/Analytics to the Cloud by leveraging Automation.

We have expertise in transforming legacy Teradata, Oracle, Hadoop, Netezza, Vertica, Greenplum along with ETLs like Informatica, Datastage, AbInitio & others, to cloud-based data warehousing with other capabilities in data engineering, advanced analytics solutions, data management, data lake and cloud optimization.

Datametica is a key partner of the major cloud service providers - Google, Microsoft, Amazon, Snowflake.

We have our own products!

Eagle – Data warehouse Assessment & Migration Planning Product

Raven – Automated Workload Conversion Product

Pelican - Automated Data Validation Product, which helps automate and accelerate data migration to the cloud.

Why join us!

Datametica is a place to innovate, bring new ideas to live and learn new things. We believe in building a culture of innovation, growth and belonging. Our people and their dedication over these years are the key factors in achieving our success.

Benefits we Provide!

Working with Highly Technical and Passionate, mission-driven people

Subsidized Meals & Snacks

Flexible Schedule

Approachable leadership

Access to various learning tools and programs

Pet Friendly

Certification Reimbursement Policy

Check out more about us on our website below!

www.datametica.com