Engineering Manager

Job Title: Data Analyst-Fintech

Job Description:

We are seeking a highly motivated and detail-oriented Data Analyst with 2 to 4 years of work experience to join our team. The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and a passion for transforming data into actionable insights. In this role, you will play a pivotal role in gathering, analyzing, and interpreting data to support informed decision-making and drive business growth.

Key Responsibilities:

1.      Data Collection and Extraction:

§ Gather data from various sources, including databases, spreadsheets and APIs,

§ Perform data cleansing and validation to ensure data accuracy and integrity.

2.      Data Analysis:

§ Analyze large datasets to identify trends, patterns, and anomalies.

§ Conduct analysis and data modeling to generate insights and forecasts.

§ Create data visualizations and reports to present findings to stakeholders.

3.      Data Interpretation and Insight Generation:

§ Translate data insights into actionable recommendations for business improvements.

§ Collaborate with cross-functional teams to understand data requirements and provide data-driven solutions.

4.      Data Quality Assurance:

§ Implement data quality checks and validation processes to ensure data accuracy and consistency.

§ Identify and address data quality issues promptly.

Qualifications:

1.      Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline.

2.      Proven work experience as a Data Analyst, with 2 to 4 years of relevant experience.

3.      Knowledge of data warehousing concepts and ETL processes is advantageous.

4.      Proficiency in data analysis tools and languages (e.g., SQL, Python, R).

5.      Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.

6.      Strong analytical and problem-solving skills.

7.      Excellent communication and presentation skills.

8.      Attention to detail and a commitment to data accuracy.

9.      Familiarity with machine learning and predictive modeling is a bonus.

If you are a data-driven professional with a passion for uncovering insights from complex datasets and have the qualifications and skills mentioned above, we encourage you to apply for this Data Analyst position. Join our dynamic team and contribute to making data-driven decisions that will shape our company's future.

Fatakpay is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We are looking for a result-driven Team Leader to be responsible for monitoring and supervising a team of consultants to achieve the organization’s objectives and increase sales. You will be responsible for providing guidance, instruction, training, and leadership skills to inspire the team to perform at their optimum. You should create a cohesive team that works efficiently together to maximize the sales team's potential. Requirements: • A bachelor's or associate's degree in marketing, sales, or a related field may be advantageous. • Experience in sales is necessary. • Strong sales ability, business acumen, and commercial awareness. • Excellent communication, interpersonal, and customer service skills. • Strong leadership abilities. • Good time management, strategic planning, and organizational skills. Responsibilities: • Identifies the primary concerns, long-term strategies, and targets to be assigned to the team members. • Oversees the sales squad's initiatives to reach objectives and generate realistic, consistent outcomes. • Develops the product sales blueprint, a set of standards for sales associates to conform to, encompassing lead filtering and deal modeling. • Guides sales personnel to function efficiently by capitalizing on their passions and capabilities

Job Title: Engineering Manager

Job Location: Chennai, Bangalore
Job Summary
The Engineering Org is looking for a proficient Engineering Manager to join a team that is building exciting
and futuristic Data Products at Condé Nast to enable both internal and external marketers to target
audiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technical
and architectural decisions. EM will own engineering deliverables inclusive of solving dependencies
such as architecture, solutions, sequencing, and working with other engineering delivery teams.This role
is also responsible for driving innovation, prototyping, and recommending solutions. Above all, you will
influence how users interact with Conde Nast’s industry-leading journalism.
● Primary Responsibilities
● Manage a high performing team of Software and Data Engineers within the Data & ML
Engineering team part of Engineering Data Organization.
● Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformation
and Storage
● Utilizing product mindset to build, scale and deploy holistic data products after successful
prototyping and drive their engineering implementation
● Provide technical coaching and lead direct reports and other members of adjacent support teams
to the highest level of performance..
● Evaluate performance of direct reports and offer career development guidance.
● Meeting hiring and retention targets of the team & building a high-performance culture
● Handle escalations from internal stakeholders and manage critical issues to resolution.
● Collaborate with Architects, Product Manager, Project Manager and other teams to deliver high
quality products.
● Identify recurring system and application issues and enable engineers to work with release teams,
infra teams, product development, vendors and other stakeholders in investigating and resolving
the cause.
● Required Skills
● 4+ years of managing Software Development teams, preferably in ML and Data
Engineering teams.
● 4+ years of Agile Software development practices
● 12+ years of Software Development experience.
● Excellent Problem Solving and System Design skill
● Hands on: Writing and Reviewing code primarily in Spark, Python and/or Java
● Hand on: Architect & Design end to end Data Pipeline (noSQL databases, Job Schedulers, Big
Data Development preferably on Databricks / Cloud)
● Experience with SOA & Microservice architecture
● Knowledge of Software Engineering best practices with experience on implementing CI/CD,
Log aggregation/Monitoring/alerting for production system
● Working Knowledge of cloud and devops skills (AWS will be preferred)
● Strong verbal and written communication skills.
● Experience in evaluating team member performance and offering career development
guidance.
● Experience in providing technical coaching to direct reports.
● Experience in architecting highly scalable products.
● Experience in collaborating with global stakeholder teams.
● Experience in working on highly available production systems.
● Strong knowledge of software release process and release pipeline.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move to
invest heavily in understanding this data and formed a whole new Data team entirely dedicated to
data processing, engineering, analytics, and visualization. This team helps drive engagement, fuel
process innovation, further content enrichment, and increase market revenue. The Data team
aimed to create a company culture where data was the common language and facilitate an
environment where insights shared in real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team at
Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and boost
online revenue. We are broadly divided into four groups, Data Intelligence, Data Engineering, Data
Science, and Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create data-driven solutions
for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse forms of
self-expression. At Condé Nast, we encourage the imaginative and celebrate the extraordinary. We
are a media company for the future, with a remarkable past. We are Condé Nast, and It Starts Here.

• Calling potential customers to explain company products and encourage purchases.
• Answering customers' questions and escalating complex issues to the relevant departments as needed.
• Developing in-depth knowledge of company products.
• Maintaining an accurate record of all sales, scheduled customer appointments, and customer complaints.
• Collaborating with the marketing department to ensure that the company is reaching its target audience.
• Informing product developers of possible product improvements and changes to ensure that company products meet current market needs.
• Preparing cost-benefit analyses for prospective and existing customers to determine the most suitable purchase options.
• Analyzing competitors' products to determine product features, benefits, shortfalls, and market success.

What you will do: