11+ OSINT Jobs in India

Innefu Labs: Seeking Product Head - AnalyticsInnefu Labs is a Software Product Company started with an aim to address need for the innovative products addressing security gaps and data analysis. The company focuses on developing specialized products and services in the field of Cyber security and Big Data Analytics.The Company has developed Auth Shield, a multifactor unique unified and application independent authentication solution to strengthen cyber security for critical applications and provides safety from phishing attacks and identity thefts.Another prominent product developed by the company is Prophecy, an analytics framework with multiple modules based on big data analytics, AI, natural language comprehension, predictive modeling & smarter analytics. The various modules are used for smart policing, security & surveillance, Investigative Research, cyber threat intelligence, KYC & fraud detection, criminal identity etc.Mainly used by Defence & Law Enforcement Agencies, the framework aims to strengthen the security & surveillance system of the Country. Innefu Labs is dedicated to the development & implementation of more such products which can help strengthen the cyber security and surveillance system across the globe.Innefu is among the top 5 Cyber excellence companies globally (Holger Schulze awards) and have won similar recognitions at National and International arenas. To Innefu's credit, more than 100 customers in India already trust the company and the list is only growing. Exciting things are happening at Innefu and we are all game for a big leap forward.In light of this tall mandate, the Company is in the process of strengthening the team. We invite applications from interested candidates with high levels of passion, competence and commitment looking to build a rewarding career.You can read more about us @ www.innefu.comDesignation: Product Head - Analytics - OSINT Domain Experience Location : DelhiNo. of Positions : 1Qualifications :- Post-Graduation- B.Tech/ BCA/ MCAFunctional Skills & Experience :- Overall work experience of 8+ years in product management.Roles and ResponsibilitiesProduct Management- Study of competing for a product with a comparison sheet- Finalizing and getting approved specifications for next version- Managing the development of frozen features- Adopt best practices to reduce Bugs- Project Updates with leadership and Clients- Deployments & Client Management- Make documents/SOP for Deployment Roadmap- Visiting / Touching base with clients- Achieve average CSAT score- Client testimonials- Client Demos and TrainingSales :- Coordinating with Sales team for Revenue Generation- Verify leads & validate pipeline - Includes PoC(s)- Sales Closure- Vertical P&L management and EBIDTA above 50%Marketing :- Webinar (delivered or managed)- Partner enablement session- Reports, Blogs, whitepaper, Brochure, Flyers, Presentations,- Proposals and Video ScriptOther Responsibilities :- Attend seminar- Mail campaigns- Team building Exercise- Sales Training to team and partnersTechnical Knowledge :- Big data, Machine learning, Deep Learning, Artificial Intelligence, Data Warehousing, Data Analytics, Natural Language Processing, ElasticsearchCompensation 18 LPA - 25 LPAKey Attributes :- Excellent qualitative and quantitative analytical skills- Strong interpersonal and multi-tasking skills- Ability to work independently as well as in a team- Interest and ability to take up new responsibilities and challenges- Adaptability to a start-up culture (unstructured, non-hierarchical, no strict silos on work profile, on-job learning)Functional Knowledge :- Understanding of Open Source Intelligence (OSINT) and its application in modern Cyber Warfare- Knowledge of API based crawling and website scraping- Natural Language Processing based Text Analysis- Thorough understanding of Unstructured and Structured Data- Conceptual knowledge of Facial Recognition and Object Detection from images

Analytics Head

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.

About the Company:

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

Job Description

We are looking for an experienced engineer with superb technical skills. Primarily be responsible for architecting and building large scale data pipelines that delivers AI and Analytical solutions to our customers. The right candidate will enthusiastically take ownership in developing and managing a continuously improving, robust, scalable software solutions.

Although your primary responsibilities will be around back-end work, we prize individuals who are willing to step in and contribute to other areas including automation, tooling, and management applications. Experience with or desire to learn Machine Learning a plus.

 

Skills

• Bachelors/Masters/Phd in CS or equivalent industry experience
• Demonstrated expertise of building and shipping cloud native applications
• 5+ years of industry experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka Streams, Py Spark, and streaming databases like druid or equivalent like Hive
• Strong industry expertise with containerization technologies including kubernetes (EKS/AKS), Kubeflow
• Experience with cloud platform services such as AWS, Azure or GCP especially with EKS, Managed Kafka
• 5+ Industry experience in python
• Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
• Experience with scripting languages. Python experience highly desirable. Experience in API development using Swagger
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git
• Familiarity with continuous integration, Jenkins

Responsibilities

• Architect, Design and Implement Large scale data processing pipelines using Kafka Streams, PySpark, Fluentd and Druid
• Create custom Operators for Kubernetes, Kubeflow
• Develop data ingestion processes and ETLs
• Assist in dev ops operations
• Design and Implement APIs
• 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

What you need to have:

What you will do:

• Developing analytical solutions to solve problem, identifying internal and external data, using analytical techniques including use of statistical techniques to analyse the problem, distilling information into actionable insights
• Participating in key decision-making forums and communicating key insights in an effective and influential manner
• Partnering with key stakeholders prioritizing analytics roadmap, demonstrating sense of urgency to identify and acting on opportunity and driving transparency on the work roadmap
• Monitoring and measuring launched initiatives [A/B testing] and feed learnings back into development process
• Managing multiple project priorities, deadlines and deliverables including rapid response as well as strategic priorities
• Identifying the appropriate data sources and building data assets to be able to enrich data and expand analytics capabilities
• Converting frequently asked questions into reports/ diagnostic tools

 

What you need to have:

• Graduate/ Post-Graduate Degree in Engineering, Mathematics, Statistics
• 8+ year of well-rounded analytics experience, preferably in internet B2C- Retail
• Strong exposure to data, analytical framework, hypothesis-based problem solving and scaling analytics
• Ability to work independently and drive your own projects
• Strong problem-solving skills
• Ability to translate business problem to analytics
• Expertise in data wrangling using SQL, exposure to Python is a plus
• Hands-on experience in using excel and power point
• Excellent communication skills
• Entrepreneurial mind-set, strong interpersonal skills
• Strong collaboration skills - inter and intra team    

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 

development of 70,000+ kids worldwide. Our multisensory neuroscience research-based phonics 

learning system comes equipped with educational games to teach children many essential skills. 

With a curriculum that has been specially adapted for Indian schools and children, we strive to 

empower beginner learners through phonics awareness.

 

  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  

Want to join the trailblazing Fintech company which is leveraging software and technology to change the face of short-term financing in India!

Our client is an innovative Fintech company that is revolutionizing the business of short term finance. The company is an online lending startup that is driven by an app-enabled technology platform to solve the funding challenges of SMEs by offering quick-turnaround, paperless business loans without collateral. It counts over 2 million small businesses across 18 cities and towns as its customers. Its founders are IIT and ISB alumni with deep experience in the fin-tech industry, from earlier working with organizations like Axis Bank, Aditya Birla Group, Fractal Analytics, and Housing.com. It has raised funds of Rs. 100 Crore from finance industry stalwarts and is growing by leaps and bounds.

 

 

What you need to have:

 

About Graphene  

Graphene is a Singapore Head quartered AI company which has been recognized as Singapore’s Best  

Start Up By Switzerland’s Seedstarsworld, and also been awarded as best AI platform for healthcare in Vivatech Paris. Graphene India is also a member of the exclusive NASSCOM Deeptech club. We are developing an AI plaform which is disrupting and replacing traditional Market Research with unbiased insights with a focus on healthcare, consumer goods and financial services.  

  

Graphene was founded by Corporate leaders from Microsoft and P&G, and works closely with the Singapore Government & Universities in creating cutting edge technology which is gaining traction with many Fortune 500 companies in India, Asia and USA.  

Graphene’s culture is grounded in delivering customer delight by recruiting high potential talent and providing an intense learning and collaborative atmosphere, with many ex-employees now hired by large companies across the world.  

  

Graphene has a 6-year track record of delivering financially sustainable growth and is one of the rare start-ups which is self-funded and is yet profitable and debt free. We have already created a strong bench strength of Singaporean leaders and are recruiting and grooming more talent with a focus on our US expansion.   

  

Job title: - Data Analyst 

Job Description  

Data Analyst responsible for storage, data enrichment, data transformation, data gathering based on data requests, testing and maintaining data pipelines. 

Responsibilities and Duties  

• Managing end to end data pipeline from data source to visualization layer 
• Ensure data integrity; Ability to pre-empt data errors 
• Organized managing and storage of data 
• Provide quality assurance of data, working with quality assurance analysts if necessary. 
• Commissioning and decommissioning of data sets. 

• Processing confidential data and information according to guidelines. 
• Helping develop reports and analysis. 
• Troubleshooting the reporting database environment and reports. 
• Managing and designing the reporting environment, including data sources, security, and metadata. 
• Supporting the data warehouse in identifying and revising reporting requirements. 

• Supporting initiatives for data integrity and normalization. 
• Evaluating changes and updates to source production systems. 
• Training end-users on new reports and dashboards. 
• Initiate data gathering based on data requirements 
• Analyse the raw data to check if the requirement is satisfied 

 

Qualifications and Skills   

  

• Technologies required: Python, SQL/ No-SQL database(CosmosDB)     
• Experience required 2 – 5 Years. Experience in Data Analysis using Python 

•  Understanding of software development life cycle   

• Plan, coordinate, develop, test and support data pipelines, document, support for reporting dashboards (PowerBI) 
• Automation steps needed to transform and enrich data.   
• Communicate issues, risks, and concerns proactively to management. Document the process thoroughly to allow peers to assist with support as needed.   
• Excellent verbal and written communication skills   

Role: Data Analytics Lead / Manager

1. Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
2. Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
3. Coordinate with different teams to determine requirements for data warehousing, reporting and analytical solutions, and ensure customer satisfaction on deliverables
4. Oversee analytics projects to extract, manage, and analyse data from multiple applications, ensuring that deadlines are met.
5. Apply statistics and data modelling to gain actionable business insights and boost customer productivity and revenue.
6. Enforce company policies and procedures to ensure quality and prevent discrepancies.
7. Communicate and track key performance metrics across departments.
8. Keep abreast of industry best practices and policies.
9. Research Latest trends, analyse data, identify opportunities and incorporate changes into business strategies.
10. Manage and optimize processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables.
11. Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
12. Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.
13. Develop and implement MLDevOps, quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
14. Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.
15. Organize and drive successful completion of data insight initiatives through effective management of data analyst and effective collaboration with stakeholders.

Essential Skills

1. Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
2. Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
3. Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
4. Experience and knowledge of statistical modelling techniques: multiple regression, logistic regression, log-linear regression, variable selection, etc.

 We’re looking for someone with at least 10+ years of experience in a position monitoring, managing, transforming and drawing insights from data, and someone with at least 5 years of experience leading a data analyst team.

Experience in Azure is preferred

Job Responsibilities :  
As a Data Warehouse Engineer in our team, you should have a proven ability to deliver high-quality work on time and with minimal supervision.
Develops or modifies procedures to solve complex database design problems, including performance, scalability, security and integration issues for various clients (on-site and off-site).
Design, develop, test, and support the data warehouse solution.
Adapt best practices and industry standards, ensuring top quality deliverable''s and playing an integral role in cross-functional system integration.
Design and implement formal data warehouse testing strategies and plans including unit testing, functional testing, integration testing, performance testing, and validation testing.
Evaluate all existing hardware's and software's according to required standards and ability to configure the hardware clusters as per the scale of data.
Data integration using enterprise development tool-sets (e.g. ETL, MDM, Quality, CDC, Data Masking, Quality).
Maintain and develop all logical and physical data models for enterprise data warehouse (EDW).
Contributes to the long-term vision of the enterprise data warehouse (EDW) by delivering Agile solutions.
Interact with end users/clients and translate business language into technical requirements.
Acts independently to expose and resolve problems.  
Participate in data warehouse health monitoring and performance optimizations as well as quality documentation.

Job Requirements :  
2+ years experience working in software development & data warehouse development for enterprise analytics.
2+ years of working with Python with major experience in Red-shift as a must and exposure to other warehousing tools.
Deep expertise in data warehousing, dimensional modeling and the ability to bring best practices with regard to data management, ETL, API integrations, and data governance.
Experience working with data retrieval and manipulation tools for various data sources like Relational (MySQL, PostgreSQL, Oracle), Cloud-based storage.
Experience with analytic and reporting tools (Tableau, Power BI, SSRS, SSAS). Experience in AWS cloud stack (S3, Glue, Red-shift, Lake Formation).
Experience in various DevOps practices helping the client to deploy and scale the systems as per requirement.
Strong verbal and written communication skills with other developers and business clients.
Knowledge of Logistics and/or Transportation Domain is a plus.
Ability to handle/ingest very huge data sets (both real-time data and batched data) in an efficient manner.