Business Analyst

Job Description*

We are seeking an experienced SEO Content Writer with a strong background in the professional training industry. The ideal candidate will have 4 years of overall experience, with at least 1 year in writing for the professional training field. The candidate should possess excellent SEO knowledge and a proven track record of producing high-quality B2B content. This role involves creating and optimizing content across various platforms, including blogs, website pages, brochures, video scripts, and social media posts, while aligning with business objectives.

Key Responsibilities:

• Develop and optimize SEO-driven content for blogs, website pages, brochures, video scripts, and social media posts in the professional training sector.
• Conduct in-depth research to ensure content is accurate, engaging, and aligns with industry-specific goals.
• Collaborate with internal teams to ensure content reflects the business’s strategic objectives and industry standards.
• Oversee the entire blog creation process, from drafting to publication, ensuring timelines and quality standards are met.
• Provide detailed, constructive feedback to external writers and freelancers, ensuring the quality, tone, and consistency of content meet brand and SEO guidelines.
• Modify and enhance content to improve SEO performance and meet evolving business needs.

Required Skills:

• 4 years of content writing experience, with
• Proven experience in B2B writing with a portfolio of at least 100 published blogs.
• Ability to stay updated on SEO trends, particularly those relevant to the professional training industry, and implement best practices.

Desired Qualities:

• Adaptability: A quick learner with a positive attitude toward embracing change in a fast-paced environment.
• Collaboration: A strong communicator who can work effectively across teams and departments to streamline the content creation process.
• Proactiveness: Actively seeks opportunities to enhance content strategies and suggests improvements for continuous development.

Mandatory Skills*

• At least 1 year writing experience focused on the professional training industry.
• Strong SEO writing skills and familiarity with SEO tools and techniques.
• Ability to perform thorough research and create content that resonates with target audiences.
• Meticulous proofreading and editing skills with an eye for detail, ensuring accuracy in language consistency, grammar, and flow.
• Strong communication and collaboration skills, with experience in providing quality feedback to writers and managing content processes.

Good to have Skills*

Knowledge of SEO Analytics tools like Google Analytics, SEMrush

Familiarity with design tools like Canva

Minimum Qualification*

Bachelor's or Master's Degree in English, Journalism, or Communications or any other graduation or post graduation

Work timings*

9 AM to 6 PM

Work location ( WFO / WFH)*

Job Title - Data Entry Operator

Job Description - 

1. Data Input and Management - Responsible for accurately inputting, updating, and maintaining data across multiple brands.

2. Quality Assurance - Perform regular checks to ensure data integrity and accuracy. This includes reviewing data for errors or inconsistencies, correcting any mistakes, and verifying the output.

3. Compliance and Confidentiality - Adhere to and comply with data integrity and security policies, maintaining confidentiality of information at all times.

4. Technical Proficiency - Proficient in using computer systems, databases, and software relevant to the company's data management needs.

Qualifications & Experience:

· Any Graduate/Undergraduate

· Experience minimum 4 – 8 Years.

Join our team

We're looking for an experienced and passionate Data Engineer to join our team. Our vision is to empower Genesys to leverage data to drive better customer and business outcomes. Our batch and streaming solutions turn vast amounts of data into useful insights. If you’re interested in working with the latest big data technologies, using industry leading BI analytics and visualization tools, and bringing the power of data to our customers’ fingertips then this position is for you!

Our ideal candidate thrives in a fast-paced environment, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time), and, above all, is a passionate about data and analytics.

What you'll get to do

• Work in an agile development environment, constantly shipping and iterating.
• Develop high quality batch and streaming big data pipelines.
• Interface with our Data Consumers, gathering requirements, and delivering complete data solutions.
• Own the design, development, and maintenance of datasets that drive key business decisions.
• Support, monitor and maintain the data models
• Adopt and define the standards and best practices in data engineering including data integrity, performance optimization, validation, reliability, and documentation.
• Keep up-to-date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using cloud services.
• Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.

Your experience should include

• Bachelor’s degree in CS or related technical field.
• 5+ years of experience in data modelling, data development, and data warehousing.
• Experience working with Big Data technologies (Hadoop, Hive, Spark, Kafka, Kinesis).
• Experience with large scale data processing systems for both batch and streaming technologies (Hadoop, Spark, Kinesis, Flink).
• Experience in programming using Python, Java or Scala.
• Experience with data orchestration tools (Airflow, Oozie, Step Functions).
• Solid understanding of database technologies including NoSQL and SQL.
• Strong in SQL queries (experience with Snowflake Cloud Datawarehouse is a plus)
• Work experience in Talend is a plus
• Track record of delivering reliable data pipelines with solid test infrastructure, CICD, data quality checks, monitoring, and alerting.
• Strong organizational and multitasking skills with ability to balance competing priorities.
• Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams.
• An ability to work in a fast-paced environment where continuous innovation is occurring, and ambiguity is the norm.

Good to have

• Experience with AWS big data technologies - S3, EMR, Kinesis, Redshift, Glue