Airline Travel Process

Job Description

We are looking for a senior resource with Analyst skills and knowledge of IT projects, to support delivery of risk mitigation activities and automation in Aviva’s Global Finance Data Office. The successful candidate will bring structure to this new role in a developing team, with excellent communication, organisational and analytical skills. The Candidate will play the primary role of supporting data governance project/change activities. Candidates should be comfortable with ambiguity in a fast-paced and ever-changing environment. Preferred skills include knowledge of Data Governance, Informatica Axon, SQL, AWS. In our team, success is measured by results and we encourage flexible working where possible.

Key Responsibilities

• Engage with stakeholders to drive delivery of the Finance Data Strategy
• Support data governance project/change activities in Aviva’s Finance function.
• Identify opportunities and implement Automations for enhanced performance of the Team

Required profile

• Relevant work experience in at least one of the following: business/project analyst, project/change management and data analytics.
• Proven track record of successful communication of analytical outcomes, including an ability to effectively communicate with both business and technical teams.
• Ability to manage multiple, competing priorities and hold the team and stakeholders to account on progress.
• Contribute, plan and execute end to end data governance framework.
• Basic knowledge of IT systems/projects and the development lifecycle.
• Experience gathering business requirements and reports.
• Advanced experience of MS Excel data processing (VBA Macros).
• Good communication

Additional Information

Degree in a quantitative or scientific field (e.g. Engineering, MBA Finance, Project Management) and/or experience in data governance/quality/privacy
Knowledge of Finance systems/processes
Experience in analysing large data sets using dedicated analytics tools

Designation – Assistant Manager TS

Location – Bangalore

Key Responsibilities

Campaign Management

• Design/optimize LinkedIn ad campaigns for B2B tech lead gen, managing budgets up to $100K+.
• Develop audience strategies (job titles, company size, industry) and refine via performance analysis.
• Execute manual bids, retargeting, and A/B tests across formats (Sponsored Content, InMail, Text Ads).

Audience & Data

• Build custom audiences using client CRM/data and implement exclusion rules.
• Track lead quality and align targeting with sales pipelines.

Performance & Reporting

• Deliver client reports tying metrics (CTAs, conversions) to business goals.
• Collaborate with Google Ads teams for cross-platform attribution.

Technical Setup

• Implement LinkedIn Insight Tag, CRM integrations, and conversion tracking.

Requirements

• 2–3 years agency experience managing LinkedIn Ads for B2B / B2B SaaS clients.
• Proven skill in scaling budgets, manual bidding, and CRM integration.
• Strong analytics and ability to present data-driven insights to clients.
• Experience working with teams from Google Ads, SEO, or marketing automation.
• Knowledge of B2B sales cycles.

Why Join?

Drive measurable ROI for tech innovators and master LinkedIn’s evolving B2B ad ecosystem in a data-first environment.

What we offer:

• CTC: 7 LPA - 9 LPA
• Hybrid
• Health insurance
• Growth opportunities working directly with founders with backgrounds in Investment Banking, B2B SaaS leadership, and IIT/ISB education

If you're detail-oriented, results-driven, and excel at client management, we want to hear from you

Planning, Designing and Creating Layout on Photoshop, Editing Images, If worked in Jewelery Business will be Preferable.

Work Timmings :- 9:30 to 6:30Pm 

Monday to Saturday 

About Tredence

Tredence is a global analytics service and solutions company. This is one of the fastest-growing startup in Silicon valley. We have recently raised our Series A private equity. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We do this cost effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with strong IP and pre-built analytics solutions in data mining, business intelligence and Big Data. 

Responsibilities & Description of the role

Role requires working with cross-functional teams and involves following key responsibilities –

• Co-own the financial plan of the business unit along with the business head
• Revenue governance (including client interactions for deal closures and contracting; forecasting, revenue recognition)
• Margin governance (including cost take-out initiatives, systemic and sustainable cost control, rate hikes, cost analysis)
• Working capital governance (including unbilled reduction, timely invoicing and collection, improving debt ageing and PDD)
• Commercial Structuring and Deal pricing
• MIS for the business unit including sales performance tracking and other analytics
• People management - internal stakeholder management
• Critical attributes to success would be strong communication, cadence and resilience.
• “Can do” attitude and faster learning curve

Must have Skills

- CA/MBA Finance from Tier I college with 4-5 years of experience

- Proven working experience as a Business Finance Partner

- Experience with creating data models

- Experience with general ledger functions and the month-end/year end close process

- Excellent accounting software user and administration skills

- Working knowledge of Microsoft Office, BI tools, Oracle Netsuite

Why join Tredence?  

There is a reason we are one of the fastest growing private companies in the country! You will have the opportunity to work with some of the smartest, friendliest, hardest working people in the data analytics space. You will work with the latest technologies and interface directly with the key decision stakeholders at our clients, some of the largest and most innovative businesses in the world. Our people are our greatest asset and we value every one of them. Come see why we’re so successful in one of the most competitive and fastest growing industries in the world.

Tredence 5 core values

• Think Impact
• Be Entrepreneurial
• Constantly curious
• Do the right thing
• Pursue Excellence

• Establish positioning, identify target audiences, and develop marketing plans with specific objectives across different channels and segments
• Lead the execution of marketing programs from start to finish, leveraging internal support and driving collaboration
• Analyze customer insights, consumer trends, market analysis, and marketing best practices to build successful strategies
• Create, maintain, and conduct analytics reporting across multiple platforms and extract key insights for future campaign development and go-to-market strategies, complete with formal proposals and recommendations on tactics
• Partner with email, performance marketing and web teams to design, test and evolve lead nurturing tactics.

• Working in partnership with the creative team, develop creative briefs and guide creative direction to meet objectives for all advertising and public-­facing communications, including print, digital, and video assets
• Conceptualize and execute on multi-channel campaigns across the prospect and customer lifecycle, ensuring the alignment of communications and messaging across all channels
• Manage content and updates for customer and internal touch points, establishing budget guidelines, participating in events, documenting business processes, and providing additional sales support
• Gather customer and market insights to inform outreach strategies, increase customer conversions, and generate more qualified leads
• Identify effectiveness and impact of current marketing initiatives with tracking and analysis, and optimize accordingly
• Present ideas and final deliverables to internal and external teams, and communicate with senior leaders about marketing programs, strategies, and budgets

• Bachelor’s degree in marketing, business, or related field
• Excellent written and verbal communication skills
• Proven experience developing marketing plans and campaigns
• Strong project management, multitasking, and decision-making skills
• Metrics-driven marketing mind with eye for creativity
• Experience with marketing automation and CRM tools

Preferred Qualifications

• Master’s degree a plus
• Proficiency with online marketing and social media strategy
• Proven experience designing interactive applications and networking platforms
• Willingness and ability to travel
• Established press and media contacts

• Developing telemetry software to connect Junos devices to the cloud
• Fast prototyping and laying the SW foundation for product solutions
• Moving prototype solutions to a production cloud multitenant SaaS solution
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Build analytics tools that utilize the data pipeline to provide significant insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with partners including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics specialists to strive for greater functionality in our data systems.

Qualification and Desired Experiences

• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• 5+ years experiences building data pipelines for data science-driven solutions
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Good team worker with excellent interpersonal skills written, verbal and presentation
• Create and maintain optimal data pipeline architecture,
• Assemble large, sophisticated data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
• Previous work in a start-up environment
• 3+ years experiences building data pipelines for data science-driven solutions
• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• We are looking for a candidate with 9+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Proven understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and interpersonal skills.
• Experience supporting and working with multi-functional teams in a multidimensional environment.